Merge pull request #290 from ItzCrazyKns/canary

feat(package): bump version
feat(web-search): add URL & PDF searching capibilities
2025-04-30 00:02:44 +00:00 · 2024-07-30 10:15:52 +05:30 · 2024-07-30 10:10:55 +05:30 · 2024-07-30 10:09:05 +05:30 · 2024-07-30 10:08:29 +05:30 · 2024-07-30 10:07:28 +05:30
33 changed files with 1282 additions and 280 deletions
--- a/README.md
+++ b/README.md
@ -67,7 +67,8 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.

   - `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models**.
   - `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**.
-   - `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**
+   - `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**.
+   - `ANTHROPIC`: Your Anthropic API key. **You only need to fill this if you wish to use Anthropic models**.

     **Note**: You can change these after starting Perplexica from the settings dialog.

@ -85,11 +86,12 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.

 ### Non-Docker Installation

-1. Clone the repository and rename the `sample.config.toml` file to `config.toml` in the root directory. Ensure you complete all required fields in this file.
-2. Rename the `.env.example` file to `.env` in the `ui` folder and fill in all necessary fields.
-3. After populating the configuration and environment files, run `npm i` in both the `ui` folder and the root directory.
-4. Install the dependencies and then execute `npm run build` in both the `ui` folder and the root directory.
-5. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.
+1. Install SearXNG and allow `JSON` format in the SearXNG settings.
+2. Clone the repository and rename the `sample.config.toml` file to `config.toml` in the root directory. Ensure you complete all required fields in this file.
+3. Rename the `.env.example` file to `.env` in the `ui` folder and fill in all necessary fields.
+4. After populating the configuration and environment files, run `npm i` in both the `ui` folder and the root directory.
+5. Install the dependencies and then execute `npm run build` in both the `ui` folder and the root directory.
+6. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.

 **Note**: Using Docker is recommended as it simplifies the setup process, especially for managing environment variables and dependencies.

@ -110,11 +112,7 @@ If you're encountering an Ollama connection error, it is likely due to the backe

 3. **Linux Users - Expose Ollama to Network:**

-   - Serve Ollama over your network with the command:
-
-     ```bash
-     OLLAMA_HOST=0.0.0.0 ollama serve
-     ```
+   - Inside `/etc/systemd/system/ollama.service`, you need to add `Environment="OLLAMA_HOST=0.0.0.0"`. Then restart Ollama by `systemctl restart ollama`. For more information see [Ollama docs](https://github.com/ollama/ollama/blob/main/docs/faq.md#setting-environment-variables-on-linux)

   - Ensure that the port (default is 11434) is not blocked by your firewall.

@ -146,11 +144,11 @@ If you find Perplexica useful, consider giving us a star on GitHub. This helps m

 ### Donations

-We also accept donations to help sustain our project. If you would like to contribute, you can use the following button to make a donation in cryptocurrency. Thank you for your support!
+We also accept donations to help sustain our project. If you would like to contribute, you can use the following options to donate. Thank you for your support!

-<a href="https://nowpayments.io/donation?api_key=RFFKJH1-GRR4DQG-HFV1DZP-00G6MMK&source=lk_donation&medium=referral" target="_blank">
-  <img src="https://nowpayments.io/images/embeds/donation-button-white.svg" alt="Crypto donation button by NOWPayments">
-</a>
+| Ethereum                                              |
+| ----------------------------------------------------- |
+| Address: `0xB025a84b2F269570Eb8D4b05DEdaA41D8525B6DD` |

 ## Contribution

--- a/backend.dockerfile
+++ b/backend.dockerfile
@ -1,4 +1,4 @@
-FROM nikolaik/python-nodejs:python3.12-nodejs20-bullseye
+FROM node:slim

 ARG SEARXNG_API_URL

@ -15,7 +15,7 @@ RUN sed -i "s|SEARXNG = \".*\"|SEARXNG = \"${SEARXNG_API_URL}\"|g" /home/perplex

 RUN mkdir /home/perplexica/data

-RUN yarn install
+RUN yarn install 
 RUN yarn build

 CMD ["yarn", "start"]
--- a/docs/installation/UPDATING.md
+++ b/docs/installation/UPDATING.md
@ -0,0 +1,34 @@
+# Update Perplexica to the latest version
+
+To update Perplexica to the latest version, follow these steps:
+
+## For Docker users
+
+1. Clone the latest version of Perplexica from GitHub:
+
+```bash
+   git clone https://github.com/ItzCrazyKns/Perplexica.git
+```
+
+2. Navigate to the Project Directory
+
+3. Update and Rebuild Docker Containers:
+
+```bash
+docker compose up -d --build
+```
+
+4. Once the command completes running go to http://localhost:3000 and verify the latest changes.
+
+## For non Docker users
+
+1. Clone the latest version of Perplexica from GitHub:
+
+```bash
+   git clone https://github.com/ItzCrazyKns/Perplexica.git
+```
+
+2. Navigate to the Project Directory
+3. Execute `npm i` in both the `ui` folder and the root directory.
+4. Once packages are updated, execute `npm run build` in both the `ui` folder and the root directory.
+5. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.
--- a/package.json
+++ b/package.json
@ -1,6 +1,6 @@
 {
  "name": "perplexica-backend",
-  "version": "1.7.0",
+  "version": "1.9.0-rc1",
  "license": "MIT",
  "author": "ItzCrazyKns",
  "scripts": {
@ -15,6 +15,8 @@
    "@types/better-sqlite3": "^7.6.10",
    "@types/cors": "^2.8.17",
    "@types/express": "^4.17.21",
+    "@types/html-to-text": "^9.0.4",
+    "@types/pdf-parse": "^1.1.4",
    "@types/readable-stream": "^4.0.11",
    "drizzle-kit": "^0.22.7",
    "nodemon": "^3.1.0",
@ -24,6 +26,8 @@
  },
  "dependencies": {
    "@iarna/toml": "^2.2.5",
+    "@langchain/anthropic": "^0.2.3",
+    "@langchain/community": "^0.2.16",
    "@langchain/openai": "^0.0.25",
    "@xenova/transformers": "^2.17.1",
    "axios": "^1.6.8",
@ -34,7 +38,9 @@
    "dotenv": "^16.4.5",
    "drizzle-orm": "^0.31.2",
    "express": "^4.19.2",
+    "html-to-text": "^9.0.5",
    "langchain": "^0.1.30",
+    "pdf-parse": "^1.1.1",
    "winston": "^3.13.0",
    "ws": "^8.17.1",
    "zod": "^3.22.4"
--- a/sample.config.toml
+++ b/sample.config.toml
@ -5,6 +5,7 @@ SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
 [API_KEYS]
 OPENAI = "" # OpenAI API key - sk-1234567890abcdef1234567890abcdef
 GROQ = "" # Groq API key - gsk_1234567890abcdef1234567890abcdef
+ANTHROPIC = "" # Anthropic API key - sk-ant-1234567890abcdef1234567890abcdef

 [API_ENDPOINTS]
 SEARXNG = "http://localhost:32768" # SearxNG API URL
--- a/src/agents/academicSearchAgent.ts
+++ b/src/agents/academicSearchAgent.ts
@ -44,7 +44,7 @@ Rephrased question:
 const basicAcademicSearchResponsePrompt = `
    You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Academic', this means you will be searching for academic papers and articles on the web.

-    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
+    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
    You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
    You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
    Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@ -52,7 +52,7 @@ const basicAcademicSearchResponsePrompt = `
    Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
    However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.

-    Aything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
+    Anything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
    talk about the context in your response. 

    <context>
--- a/src/agents/redditSearchAgent.ts
+++ b/src/agents/redditSearchAgent.ts
@ -44,7 +44,7 @@ Rephrased question:
 const basicRedditSearchResponsePrompt = `
    You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Reddit', this means you will be searching for information, opinions and discussions on the web using Reddit.

-    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
+    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
    You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
    You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
    Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@ -52,8 +52,8 @@ const basicRedditSearchResponsePrompt = `
    Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
    However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.

-    Aything inside the following \`context\` HTML block provided below is for your knowledge returned by Reddit and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
-    talk about the context in your response. 
+    Anything inside the following \`context\` HTML block provided below is for your knowledge returned by Reddit and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
+    talk about the context in your response.

    <context>
    {context}
@ -177,9 +177,9 @@ const createBasicRedditSearchAnsweringChain = (
    });

    const sortedDocs = similarity
+      .filter((sim) => sim.similarity > 0.3)
      .sort((a, b) => b.similarity - a.similarity)
      .slice(0, 15)
-      .filter((sim) => sim.similarity > 0.3)
      .map((sim) => docsWithContent[sim.index]);

    return sortedDocs;
--- a/src/agents/suggestionGeneratorAgent.ts
+++ b/src/agents/suggestionGeneratorAgent.ts
@ -47,7 +47,7 @@ const generateSuggestions = (
  input: SuggestionGeneratorInput,
  llm: BaseChatModel,
 ) => {
-  (llm as ChatOpenAI).temperature = 0;
+  (llm as unknown as ChatOpenAI).temperature = 0;
  const suggestionGeneratorChain = createSuggestionGeneratorChain(llm);
  return suggestionGeneratorChain.invoke(input);
 };
--- a/src/agents/webSearchAgent.ts
+++ b/src/agents/webSearchAgent.ts
@ -19,20 +19,47 @@ import formatChatHistoryAsString from '../utils/formatHistory';
 import eventEmitter from 'events';
 import computeSimilarity from '../utils/computeSimilarity';
 import logger from '../utils/logger';
+import LineListOutputParser from '../lib/outputParsers/listLineOutputParser';
+import { getDocumentsFromLinks } from '../lib/linkDocument';
+import LineOutputParser from '../lib/outputParsers/lineOutputParser';

 const basicSearchRetrieverPrompt = `
 You will be given a conversation below and a follow up question. You need to rephrase the follow-up question if needed so it is a standalone question that can be used by the LLM to search the web for information.
 If it is a writing task or a simple hi, hello rather than a question, you need to return \`not_needed\` as the response.
+If the question contains some links and asks to answer from those links or even if they don't you need to return the links inside 'links' XML block and the question inside 'question' XML block. If there are no links then you need to return the question without any XML block.
+If the user asks to summarrize the content from some links you need to return \`Summarize\` as the question inside the 'question' XML block and the links inside the 'links' XML block.

 Example:
 1. Follow up question: What is the capital of France?
-Rephrased: Capital of france
+Rephrased question: \`Capital of france\`

 2. Follow up question: What is the population of New York City?
-Rephrased: Population of New York City
+Rephrased question: \`Population of New York City\`

 3. Follow up question: What is Docker?
-Rephrased: What is Docker
+Rephrased question: \`What is Docker\`
+
+4. Follow up question: Can you tell me what is X from https://example.com
+Rephrased question: \`
+<question>
+Can you tell me what is X?
+</question>
+
+<links>
+https://example.com
+</links>
+\`
+
+5. Follow up question: Summarize the content from https://example.com
+Rephrased question: \`
+<question>
+Summarize
+</question>
+
+<links>
+https://example.com
+</links>
+\`

 Conversation:
 {chat_history}
@ -42,24 +69,26 @@ Rephrased question:
 `;

 const basicWebSearchResponsePrompt = `
-    You are Perplexica, an AI model who is expert at searching the web and answering user's queries.
+    You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are also an expert at summarizing web pages or documents and searching for content in them.

-    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
+    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
    You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
    You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
+    If the query contains some links and the user asks to answer from those links you will be provided the entire content of the page inside the \`context\` XML block. You can then use this content to answer the user's query.
+    If the user asks to summarize content from some links, you will be provided the entire content of the page inside the \`context\` XML block. You can then use this content to summarize the text. The content provided inside the \`context\` block will be already summarized by another model so you just need to use that content to answer the user's query.
    Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
    You have to cite the answer using [number] notation. You must cite the sentences with their relevent context number. You must cite each and every part of the answer so the user can know where the information is coming from.
    Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
    However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.

-    Aything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
-    talk about the context in your response. 
+    Anything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
+    talk about the context in your response.

    <context>
    {context}
    </context>

-    If you think there's nothing relevant in the search results, you can say that 'Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?'.
+    If you think there's nothing relevant in the search results, you can say that 'Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?'. You do not need to do this for summarization tasks.
    Anything between the \`context\` is retrieved from a search engine and is not a part of the conversation with the user. Today's date is ${new Date().toISOString()}
 `;

@ -112,23 +141,100 @@ const createBasicWebSearchRetrieverChain = (llm: BaseChatModel) => {
        return { query: '', docs: [] };
      }

-      const res = await searchSearxng(input, {
-        language: 'en',
+      const linksOutputParser = new LineListOutputParser({
+        key: 'links',
      });

-      const documents = res.results.map(
-        (result) =>
-          new Document({
-            pageContent: result.content,
-            metadata: {
-              title: result.title,
-              url: result.url,
-              ...(result.img_src && { img_src: result.img_src }),
-            },
-          }),
-      );
+      const questionOutputParser = new LineOutputParser({
+        key: 'question',
+      });

-      return { query: input, docs: documents };
+      const links = await linksOutputParser.parse(input);
+      let question = await questionOutputParser.parse(input);
+
+      if (links.length > 0) {
+        if (question.length === 0) {
+          question = 'Summarize';
+        }
+
+        let docs = []
+
+        const linkDocs = await getDocumentsFromLinks({ links });
+
+        const docGroups: Document[] = [];
+
+        linkDocs.map((doc) => {
+          const URLDocExists = docGroups.find((d) => d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10);
+
+          if (!URLDocExists) {
+            docGroups.push({
+              ...doc,
+              metadata: {
+                ...doc.metadata,
+                totalDocs: 1
+              }
+            });
+          }
+
+          const docIndex = docGroups.findIndex((d) => d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10);
+
+          if (docIndex !== -1) {
+            docGroups[docIndex].pageContent = docGroups[docIndex].pageContent + `\n\n` +  doc.pageContent;
+            docGroups[docIndex].metadata.totalDocs += 1;
+          }
+        })
+
+        await Promise.all(docGroups.map(async (doc) => {
+          const res = await llm.invoke(`
+            You are a text summarizer. You need to summarize the text provided inside the \`text\` XML block. 
+            You need to summarize the text into 1 or 2 sentences capturing the main idea of the text.
+            You need to make sure that you don't miss any point while summarizing the text.
+            You will also be given a \`query\` XML block which will contain the query of the user. Try to answer the query in the summary from the text provided.
+            If the query says Summarize then you just need to summarize the text without answering the query.
+            Only return the summarized text without any other messages, text or XML block.
+
+            <query>
+            ${question}
+            </query>
+
+            <text>
+            ${doc.pageContent}
+            </text>
+
+            Make sure to answer the query in the summary.
+          `);
+
+          const document = new Document({
+            pageContent: res.content as string,
+            metadata: {
+              title: doc.metadata.title,
+              url: doc.metadata.url,
+            },
+          })
+          
+          docs.push(document)
+        }))
+
+        return { query: question, docs: docs };
+      } else {
+        const res = await searchSearxng(input, {
+          language: 'en',
+        });
+
+        const documents = res.results.map(
+          (result) =>
+            new Document({
+              pageContent: result.content,
+              metadata: {
+                title: result.title,
+                url: result.url,
+                ...(result.img_src && { img_src: result.img_src }),
+              },
+            }),
+        );
+
+        return { query: input, docs: documents };
+      }
    }),
  ]);
 };
@ -156,6 +262,10 @@ const createBasicWebSearchAnsweringChain = (
      return docs;
    }

+    if (query === 'Summarize') {
+      return docs;
+    }
+
    const docsWithContent = docs.filter(
      (doc) => doc.pageContent && doc.pageContent.length > 0,
    );
@ -175,8 +285,8 @@ const createBasicWebSearchAnsweringChain = (
    });

    const sortedDocs = similarity
-      .sort((a, b) => b.similarity - a.similarity)
      .filter((sim) => sim.similarity > 0.5)
+      .sort((a, b) => b.similarity - a.similarity)
      .slice(0, 15)
      .map((sim) => docsWithContent[sim.index]);

--- a/src/agents/wolframAlphaSearchAgent.ts
+++ b/src/agents/wolframAlphaSearchAgent.ts
@ -43,7 +43,7 @@ Rephrased question:
 const basicWolframAlphaSearchResponsePrompt = `
    You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Wolfram Alpha', this means you will be searching for information on the web using Wolfram Alpha. It is a computational knowledge engine that can answer factual queries and perform computations.

-    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
+    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
    You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
    You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
    Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@ -51,7 +51,7 @@ const basicWolframAlphaSearchResponsePrompt = `
    Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
    However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.

-    Aything inside the following \`context\` HTML block provided below is for your knowledge returned by Wolfram Alpha and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
+    Anything inside the following \`context\` HTML block provided below is for your knowledge returned by Wolfram Alpha and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
    talk about the context in your response. 

    <context>
--- a/src/agents/youtubeSearchAgent.ts
+++ b/src/agents/youtubeSearchAgent.ts
@ -44,7 +44,7 @@ Rephrased question:
 const basicYoutubeSearchResponsePrompt = `
    You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Youtube', this means you will be searching for videos on the web using Youtube and providing information based on the video's transcript.

-    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
+    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
    You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
    You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
    Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@ -52,8 +52,8 @@ const basicYoutubeSearchResponsePrompt = `
    Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
    However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.

-    Aything inside the following \`context\` HTML block provided below is for your knowledge returned by Youtube and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
-    talk about the context in your response. 
+    Anything inside the following \`context\` HTML block provided below is for your knowledge returned by Youtube and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
+    talk about the context in your response.

    <context>
    {context}
@ -177,9 +177,9 @@ const createBasicYoutubeSearchAnsweringChain = (
    });

    const sortedDocs = similarity
+      .filter((sim) => sim.similarity > 0.3)
      .sort((a, b) => b.similarity - a.similarity)
      .slice(0, 15)
-      .filter((sim) => sim.similarity > 0.3)
      .map((sim) => docsWithContent[sim.index]);

    return sortedDocs;
--- a/src/app.ts
+++ b/src/app.ts
@ -28,3 +28,11 @@ server.listen(port, () => {
 });

 startWebSocketServer(server);
+
+process.on('uncaughtException', (err, origin) => {
+  logger.error(`Uncaught Exception at ${origin}: ${err}`)
+})
+
+process.on('unhandledRejection', (reason, promise) => {
+  logger.error(`Unhandled Rejection at: ${promise}, reason: ${reason}`)
+})
--- a/src/config.ts
+++ b/src/config.ts
@ -12,6 +12,7 @@ interface Config {
  API_KEYS: {
    OPENAI: string;
    GROQ: string;
+    ANTHROPIC: string;
  };
  API_ENDPOINTS: {
    SEARXNG: string;
@ -37,6 +38,8 @@ export const getOpenaiApiKey = () => loadConfig().API_KEYS.OPENAI;

 export const getGroqApiKey = () => loadConfig().API_KEYS.GROQ;

+export const getAnthropicApiKey = () => loadConfig().API_KEYS.ANTHROPIC;
+
 export const getSearxngApiEndpoint = () => loadConfig().API_ENDPOINTS.SEARXNG;

 export const getOllamaApiEndpoint = () => loadConfig().API_ENDPOINTS.OLLAMA;
--- a/src/lib/linkDocument.ts
+++ b/src/lib/linkDocument.ts
@ -0,0 +1,81 @@
+import axios from 'axios';
+import { htmlToText } from 'html-to-text'
+import { RecursiveCharacterTextSplitter } from 'langchain/text_splitter';
+import { Document } from '@langchain/core/documents';
+import pdfParse from 'pdf-parse'
+
+export const getDocumentsFromLinks = async ({ links }: { links: string[] }) => {
+  const splitter = new RecursiveCharacterTextSplitter();
+
+  let docs: Document[] = [];
+
+  await Promise.all(
+    links.map(async (link) => {
+      link =
+        link.startsWith('http://') || link.startsWith('https://')
+          ? link
+          : `https://${link}`;
+
+      const res = await axios.get(link, {
+        responseType: 'arraybuffer',
+      });
+
+      const isPdf = res.headers['content-type'] === 'application/pdf';
+
+      if (isPdf) {
+        const pdfText = await pdfParse(res.data)
+        const parsedText = pdfText.text
+          .replace(/(\r\n|\n|\r)/gm, ' ')
+          .replace(/\s+/g, ' ')
+          .trim();
+
+        const splittedText = await splitter.splitText(parsedText);
+        const title = 'PDF Document'
+
+        const linkDocs = splittedText.map((text) => {
+          return new Document({
+            pageContent: text,
+            metadata: {
+              title: title,
+              url: link,
+            },
+          });
+        });
+
+        docs.push(...linkDocs);
+        return;
+      }
+
+      const parsedText = htmlToText(res.data.toString('utf8'), {
+        selectors: [
+          {
+            selector: 'a',
+            options: {
+              ignoreHref: true,
+            }
+          },
+        ]
+      })
+        .replace(/(\r\n|\n|\r)/gm, ' ')
+        .replace(/\s+/g, ' ')
+        .trim();
+
+      const splittedText = await splitter.splitText(parsedText);
+      const title = res.data.toString('utf8').match(/<title>(.*?)<\/title>/)?.[1];
+
+      const linkDocs = splittedText.map((text) => {
+        return new Document({
+          pageContent: text,
+          metadata: {
+            title: title || link,
+            url: link,
+          },
+        });
+      });
+
+      docs.push(...linkDocs);
+    }),
+  );
+
+  return docs;
+};
--- a/src/lib/outputParsers/lineOutputParser.ts
+++ b/src/lib/outputParsers/lineOutputParser.ts
@ -0,0 +1,46 @@
+import { BaseOutputParser } from '@langchain/core/output_parsers';
+
+interface LineOutputParserArgs {
+  key?: string;
+}
+
+class LineOutputParser extends BaseOutputParser<string> {
+  private key = 'questions';
+
+  constructor(args?: LineOutputParserArgs) {
+    super();
+    this.key = args.key ?? this.key;
+  }
+
+  static lc_name() {
+    return 'LineOutputParser';
+  }
+
+  lc_namespace = ['langchain', 'output_parsers', 'line_output_parser'];
+
+  async parse(text: string): Promise<string> {
+    const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
+    const startKeyIndex = text.indexOf(`<${this.key}>`);
+    const endKeyIndex = text.indexOf(`</${this.key}>`);
+
+    if (startKeyIndex === -1 || endKeyIndex === -1) {
+      return '';
+    }
+
+    const questionsStartIndex =
+      startKeyIndex === -1 ? 0 : startKeyIndex + `<${this.key}>`.length;
+    const questionsEndIndex = endKeyIndex === -1 ? text.length : endKeyIndex;
+    const line = text
+      .slice(questionsStartIndex, questionsEndIndex)
+      .trim()
+      .replace(regex, '');
+
+    return line;
+  }
+
+  getFormatInstructions(): string {
+    throw new Error('Not implemented.');
+  }
+}
+
+export default LineOutputParser;
--- a/src/lib/outputParsers/listLineOutputParser.ts
+++ b/src/lib/outputParsers/listLineOutputParser.ts
@ -22,6 +22,11 @@ class LineListOutputParser extends BaseOutputParser<string[]> {
    const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
    const startKeyIndex = text.indexOf(`<${this.key}>`);
    const endKeyIndex = text.indexOf(`</${this.key}>`);
+
+    if (startKeyIndex === -1 || endKeyIndex === -1) {
+      return [];
+    }
+
    const questionsStartIndex =
      startKeyIndex === -1 ? 0 : startKeyIndex + `<${this.key}>`.length;
    const questionsEndIndex = endKeyIndex === -1 ? text.length : endKeyIndex;
--- a/src/lib/providers.ts
+++ b/src/lib/providers.ts
@ -1,187 +0,0 @@
-import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-import { ChatOllama } from '@langchain/community/chat_models/ollama';
-import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
-import { HuggingFaceTransformersEmbeddings } from './huggingfaceTransformer';
-import {
-  getGroqApiKey,
-  getOllamaApiEndpoint,
-  getOpenaiApiKey,
-} from '../config';
-import logger from '../utils/logger';
-
-export const getAvailableChatModelProviders = async () => {
-  const openAIApiKey = getOpenaiApiKey();
-  const groqApiKey = getGroqApiKey();
-  const ollamaEndpoint = getOllamaApiEndpoint();
-
-  const models = {};
-
-  if (openAIApiKey) {
-    try {
-      models['openai'] = {
-        'GPT-3.5 turbo': new ChatOpenAI({
-          openAIApiKey,
-          modelName: 'gpt-3.5-turbo',
-          temperature: 0.7,
-        }),
-        'GPT-4': new ChatOpenAI({
-          openAIApiKey,
-          modelName: 'gpt-4',
-          temperature: 0.7,
-        }),
-        'GPT-4 turbo': new ChatOpenAI({
-          openAIApiKey,
-          modelName: 'gpt-4-turbo',
-          temperature: 0.7,
-        }),
-        'GPT-4 omni': new ChatOpenAI({
-          openAIApiKey,
-          modelName: 'gpt-4o',
-          temperature: 0.7,
-        }),
-      };
-    } catch (err) {
-      logger.error(`Error loading OpenAI models: ${err}`);
-    }
-  }
-
-  if (groqApiKey) {
-    try {
-      models['groq'] = {
-        'LLaMA3 8b': new ChatOpenAI(
-          {
-            openAIApiKey: groqApiKey,
-            modelName: 'llama3-8b-8192',
-            temperature: 0.7,
-          },
-          {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
-        ),
-        'LLaMA3 70b': new ChatOpenAI(
-          {
-            openAIApiKey: groqApiKey,
-            modelName: 'llama3-70b-8192',
-            temperature: 0.7,
-          },
-          {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
-        ),
-        'Mixtral 8x7b': new ChatOpenAI(
-          {
-            openAIApiKey: groqApiKey,
-            modelName: 'mixtral-8x7b-32768',
-            temperature: 0.7,
-          },
-          {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
-        ),
-        'Gemma 7b': new ChatOpenAI(
-          {
-            openAIApiKey: groqApiKey,
-            modelName: 'gemma-7b-it',
-            temperature: 0.7,
-          },
-          {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
-        ),
-      };
-    } catch (err) {
-      logger.error(`Error loading Groq models: ${err}`);
-    }
-  }
-
-  if (ollamaEndpoint) {
-    try {
-      const response = await fetch(`${ollamaEndpoint}/api/tags`, {
-        headers: {
-          'Content-Type': 'application/json',
-        },
-      });
-
-      const { models: ollamaModels } = (await response.json()) as any;
-
-      models['ollama'] = ollamaModels.reduce((acc, model) => {
-        acc[model.model] = new ChatOllama({
-          baseUrl: ollamaEndpoint,
-          model: model.model,
-          temperature: 0.7,
-        });
-        return acc;
-      }, {});
-    } catch (err) {
-      logger.error(`Error loading Ollama models: ${err}`);
-    }
-  }
-
-  models['custom_openai'] = {};
-
-  return models;
-};
-
-export const getAvailableEmbeddingModelProviders = async () => {
-  const openAIApiKey = getOpenaiApiKey();
-  const ollamaEndpoint = getOllamaApiEndpoint();
-
-  const models = {};
-
-  if (openAIApiKey) {
-    try {
-      models['openai'] = {
-        'Text embedding 3 small': new OpenAIEmbeddings({
-          openAIApiKey,
-          modelName: 'text-embedding-3-small',
-        }),
-        'Text embedding 3 large': new OpenAIEmbeddings({
-          openAIApiKey,
-          modelName: 'text-embedding-3-large',
-        }),
-      };
-    } catch (err) {
-      logger.error(`Error loading OpenAI embeddings: ${err}`);
-    }
-  }
-
-  if (ollamaEndpoint) {
-    try {
-      const response = await fetch(`${ollamaEndpoint}/api/tags`, {
-        headers: {
-          'Content-Type': 'application/json',
-        },
-      });
-
-      const { models: ollamaModels } = (await response.json()) as any;
-
-      models['ollama'] = ollamaModels.reduce((acc, model) => {
-        acc[model.model] = new OllamaEmbeddings({
-          baseUrl: ollamaEndpoint,
-          model: model.model,
-        });
-        return acc;
-      }, {});
-    } catch (err) {
-      logger.error(`Error loading Ollama embeddings: ${err}`);
-    }
-  }
-
-  try {
-    models['local'] = {
-      'BGE Small': new HuggingFaceTransformersEmbeddings({
-        modelName: 'Xenova/bge-small-en-v1.5',
-      }),
-      'GTE Small': new HuggingFaceTransformersEmbeddings({
-        modelName: 'Xenova/gte-small',
-      }),
-      'Bert Multilingual': new HuggingFaceTransformersEmbeddings({
-        modelName: 'Xenova/bert-base-multilingual-uncased',
-      }),
-    };
-  } catch (err) {
-    logger.error(`Error loading local embeddings: ${err}`);
-  }
-
-  return models;
-};
--- a/src/lib/providers/anthropic.ts
+++ b/src/lib/providers/anthropic.ts
@ -0,0 +1,39 @@
+import { ChatAnthropic } from '@langchain/anthropic';
+import { getAnthropicApiKey } from '../../config';
+import logger from '../../utils/logger';
+
+export const loadAnthropicChatModels = async () => {
+  const anthropicApiKey = getAnthropicApiKey();
+
+  if (!anthropicApiKey) return {};
+
+  try {
+    const chatModels = {
+      'Claude 3.5 Sonnet': new ChatAnthropic({
+        temperature: 0.7,
+        anthropicApiKey: anthropicApiKey,
+        model: 'claude-3-5-sonnet-20240620',
+      }),
+      'Claude 3 Opus': new ChatAnthropic({
+        temperature: 0.7,
+        anthropicApiKey: anthropicApiKey,
+        model: 'claude-3-opus-20240229',
+      }),
+      'Claude 3 Sonnet': new ChatAnthropic({
+        temperature: 0.7,
+        anthropicApiKey: anthropicApiKey,
+        model: 'claude-3-sonnet-20240229',
+      }),
+      'Claude 3 Haiku': new ChatAnthropic({
+        temperature: 0.7,
+        anthropicApiKey: anthropicApiKey,
+        model: 'claude-3-haiku-20240307',
+      }),
+    };
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading Anthropic models: ${err}`);
+    return {};
+  }
+};
--- a/src/lib/providers/groq.ts
+++ b/src/lib/providers/groq.ts
@ -0,0 +1,89 @@
+import { ChatOpenAI } from '@langchain/openai';
+import { getGroqApiKey } from '../../config';
+import logger from '../../utils/logger';
+
+export const loadGroqChatModels = async () => {
+  const groqApiKey = getGroqApiKey();
+
+  if (!groqApiKey) return {};
+
+  try {
+    const chatModels = {
+      'Llama 3.1 70B': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'llama-3.1-70b-versatile',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'Llama 3.1 8B': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'llama-3.1-8b-instant',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'LLaMA3 8b': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'llama3-8b-8192',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'LLaMA3 70b': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'llama3-70b-8192',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'Mixtral 8x7b': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'mixtral-8x7b-32768',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'Gemma 7b': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'gemma-7b-it',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'Gemma2 9b': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'gemma2-9b-it',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+    };
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading Groq models: ${err}`);
+    return {};
+  }
+};
--- a/src/lib/providers/index.ts
+++ b/src/lib/providers/index.ts
@ -0,0 +1,46 @@
+import { loadGroqChatModels } from './groq';
+import { loadOllamaChatModels, loadOllamaEmbeddingsModels } from './ollama';
+import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
+import { loadAnthropicChatModels } from './anthropic';
+import { loadTransformersEmbeddingsModels } from './transformers';
+
+const chatModelProviders = {
+  openai: loadOpenAIChatModels,
+  groq: loadGroqChatModels,
+  ollama: loadOllamaChatModels,
+  anthropic: loadAnthropicChatModels,
+};
+
+const embeddingModelProviders = {
+  openai: loadOpenAIEmbeddingsModels,
+  local: loadTransformersEmbeddingsModels,
+  ollama: loadOllamaEmbeddingsModels,
+};
+
+export const getAvailableChatModelProviders = async () => {
+  const models = {};
+
+  for (const provider in chatModelProviders) {
+    const providerModels = await chatModelProviders[provider]();
+    if (Object.keys(providerModels).length > 0) {
+      models[provider] = providerModels;
+    }
+  }
+
+  models['custom_openai'] = {};
+
+  return models;
+};
+
+export const getAvailableEmbeddingModelProviders = async () => {
+  const models = {};
+
+  for (const provider in embeddingModelProviders) {
+    const providerModels = await embeddingModelProviders[provider]();
+    if (Object.keys(providerModels).length > 0) {
+      models[provider] = providerModels;
+    }
+  }
+
+  return models;
+};
--- a/src/lib/providers/ollama.ts
+++ b/src/lib/providers/ollama.ts
@ -0,0 +1,63 @@
+import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
+import { getOllamaApiEndpoint } from '../../config';
+import logger from '../../utils/logger';
+import { ChatOllama } from '@langchain/community/chat_models/ollama';
+
+export const loadOllamaChatModels = async () => {
+  const ollamaEndpoint = getOllamaApiEndpoint();
+
+  if (!ollamaEndpoint) return {};
+
+  try {
+    const response = await fetch(`${ollamaEndpoint}/api/tags`, {
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    });
+
+    const { models: ollamaModels } = (await response.json()) as any;
+
+    const chatModels = ollamaModels.reduce((acc, model) => {
+      acc[model.model] = new ChatOllama({
+        baseUrl: ollamaEndpoint,
+        model: model.model,
+        temperature: 0.7,
+      });
+      return acc;
+    }, {});
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading Ollama models: ${err}`);
+    return {};
+  }
+};
+
+export const loadOllamaEmbeddingsModels = async () => {
+  const ollamaEndpoint = getOllamaApiEndpoint();
+
+  if (!ollamaEndpoint) return {};
+
+  try {
+    const response = await fetch(`${ollamaEndpoint}/api/tags`, {
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    });
+
+    const { models: ollamaModels } = (await response.json()) as any;
+
+    const embeddingsModels = ollamaModels.reduce((acc, model) => {
+      acc[model.model] = new OllamaEmbeddings({
+        baseUrl: ollamaEndpoint,
+        model: model.model,
+      });
+      return acc;
+    }, {});
+
+    return embeddingsModels;
+  } catch (err) {
+    logger.error(`Error loading Ollama embeddings model: ${err}`);
+    return {};
+  }
+};
--- a/src/lib/providers/openai.ts
+++ b/src/lib/providers/openai.ts
@ -0,0 +1,68 @@
+import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { getOpenaiApiKey } from '../../config';
+import logger from '../../utils/logger';
+
+export const loadOpenAIChatModels = async () => {
+  const openAIApiKey = getOpenaiApiKey();
+
+  if (!openAIApiKey) return {};
+
+  try {
+    const chatModels = {
+      'GPT-3.5 turbo': new ChatOpenAI({
+        openAIApiKey,
+        modelName: 'gpt-3.5-turbo',
+        temperature: 0.7,
+      }),
+      'GPT-4': new ChatOpenAI({
+        openAIApiKey,
+        modelName: 'gpt-4',
+        temperature: 0.7,
+      }),
+      'GPT-4 turbo': new ChatOpenAI({
+        openAIApiKey,
+        modelName: 'gpt-4-turbo',
+        temperature: 0.7,
+      }),
+      'GPT-4 omni': new ChatOpenAI({
+        openAIApiKey,
+        modelName: 'gpt-4o',
+        temperature: 0.7,
+      }),
+      'GPT-4 omni mini': new ChatOpenAI({
+        openAIApiKey,
+        modelName: 'gpt-4o-mini',
+        temperature: 0.7,
+      }),
+    };
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading OpenAI models: ${err}`);
+    return {};
+  }
+};
+
+export const loadOpenAIEmbeddingsModels = async () => {
+  const openAIApiKey = getOpenaiApiKey();
+
+  if (!openAIApiKey) return {};
+
+  try {
+    const embeddingModels = {
+      'Text embedding 3 small': new OpenAIEmbeddings({
+        openAIApiKey,
+        modelName: 'text-embedding-3-small',
+      }),
+      'Text embedding 3 large': new OpenAIEmbeddings({
+        openAIApiKey,
+        modelName: 'text-embedding-3-large',
+      }),
+    };
+
+    return embeddingModels;
+  } catch (err) {
+    logger.error(`Error loading OpenAI embeddings model: ${err}`);
+    return {};
+  }
+};
--- a/src/lib/providers/transformers.ts
+++ b/src/lib/providers/transformers.ts
@ -0,0 +1,23 @@
+import logger from '../../utils/logger';
+import { HuggingFaceTransformersEmbeddings } from '../huggingfaceTransformer';
+
+export const loadTransformersEmbeddingsModels = async () => {
+  try {
+    const embeddingModels = {
+      'BGE Small': new HuggingFaceTransformersEmbeddings({
+        modelName: 'Xenova/bge-small-en-v1.5',
+      }),
+      'GTE Small': new HuggingFaceTransformersEmbeddings({
+        modelName: 'Xenova/gte-small',
+      }),
+      'Bert Multilingual': new HuggingFaceTransformersEmbeddings({
+        modelName: 'Xenova/bert-base-multilingual-uncased',
+      }),
+    };
+
+    return embeddingModels;
+  } catch (err) {
+    logger.error(`Error loading Transformers embeddings model: ${err}`);
+    return {};
+  }
+};
--- a/src/routes/chats.ts
+++ b/src/routes/chats.ts
@ -40,4 +40,27 @@ router.get('/:id', async (req, res) => {
  }
 });

+router.delete(`/:id`, async (req, res) => {
+  try {
+    const chatExists = await db.query.chats.findFirst({
+      where: eq(chats.id, req.params.id),
+    });
+
+    if (!chatExists) {
+      return res.status(404).json({ message: 'Chat not found' });
+    }
+
+    await db.delete(chats).where(eq(chats.id, req.params.id)).execute();
+    await db
+      .delete(messages)
+      .where(eq(messages.chatId, req.params.id))
+      .execute();
+
+    return res.status(200).json({ message: 'Chat deleted successfully' });
+  } catch (err) {
+    res.status(500).json({ message: 'An error has occurred.' });
+    logger.error(`Error in deleting chat: ${err.message}`);
+  }
+});
+
 export default router;
--- a/src/routes/config.ts
+++ b/src/routes/config.ts
@ -6,6 +6,7 @@ import {
 import {
  getGroqApiKey,
  getOllamaApiEndpoint,
+  getAnthropicApiKey,
  getOpenaiApiKey,
  updateConfig,
 } from '../config';
@ -37,6 +38,7 @@ router.get('/', async (_, res) => {

  config['openaiApiKey'] = getOpenaiApiKey();
  config['ollamaApiUrl'] = getOllamaApiEndpoint();
+  config['anthropicApiKey'] = getAnthropicApiKey();
  config['groqApiKey'] = getGroqApiKey();

  res.status(200).json(config);
@ -49,6 +51,7 @@ router.post('/', async (req, res) => {
    API_KEYS: {
      OPENAI: config.openaiApiKey,
      GROQ: config.groqApiKey,
+      ANTHROPIC: config.anthropicApiKey,
    },
    API_ENDPOINTS: {
      OLLAMA: config.ollamaApiUrl,
--- a/src/websocket/connectionManager.ts
+++ b/src/websocket/connectionManager.ts
@ -45,7 +45,7 @@ export const handleConnection = async (
      chatModelProviders[chatModelProvider][chatModel] &&
      chatModelProvider != 'custom_openai'
    ) {
-      llm = chatModelProviders[chatModelProvider][chatModel] as
+      llm = chatModelProviders[chatModelProvider][chatModel] as unknown as
        | BaseChatModel
        | undefined;
    } else if (chatModelProvider == 'custom_openai') {
@ -56,7 +56,7 @@ export const handleConnection = async (
        configuration: {
          baseURL: searchParams.get('openAIBaseURL'),
        },
-      });
+      }) as unknown as BaseChatModel;
    }

    if (
--- a/ui/app/layout.tsx
+++ b/ui/app/layout.tsx
@ -34,7 +34,7 @@ export default function RootLayout({
              unstyled: true,
              classNames: {
                toast:
-                  'bg-light-primary dark:bg-dark-primary text-white rounded-lg p-4 flex flex-row items-center space-x-2',
+                  'bg-light-primary dark:bg-dark-secondary dark:text-white/70 text-black-70 rounded-lg p-4 flex flex-row items-center space-x-2',
              },
            }}
          />
--- a/ui/app/library/page.tsx
+++ b/ui/app/library/page.tsx
@ -1,11 +1,12 @@
 'use client';

+import DeleteChat from '@/components/DeleteChat';
 import { formatTimeDifference } from '@/lib/utils';
-import { BookOpenText, ClockIcon, ScanEye } from 'lucide-react';
+import { BookOpenText, ClockIcon, Delete, ScanEye } from 'lucide-react';
 import Link from 'next/link';
 import { useEffect, useState } from 'react';

-interface Chat {
+export interface Chat {
  id: string;
  title: string;
  createdAt: string;
@ -92,6 +93,11 @@ const Page = () => {
                    {formatTimeDifference(new Date(), chat.createdAt)} Ago
                  </p>
                </div>
+                <DeleteChat
+                  chatId={chat.id}
+                  chats={chats}
+                  setChats={setChats}
+                />
              </div>
            </div>
          ))}
--- a/ui/components/ChatWindow.tsx
+++ b/ui/components/ChatWindow.tsx
@ -9,6 +9,7 @@ import crypto from 'crypto';
 import { toast } from 'sonner';
 import { useSearchParams } from 'next/navigation';
 import { getSuggestions } from '@/lib/actions';
+import Error from 'next/error';

 export type Message = {
  messageId: string;
@ -53,13 +54,26 @@ const useSocket = (
          ).then(async (res) => await res.json());

          const chatModelProviders = providers.chatModelProviders;
-          const embeddingModelProviders = providers.embeddingModelProviders;

-          if (
-            !chatModelProviders ||
-            Object.keys(chatModelProviders).length === 0
-          )
-            return toast.error('No chat models available');
+          chatModelProvider = Object.keys(chatModelProviders)[0];
+
+          if (chatModelProvider === 'custom_openai') {
+            toast.error(
+              'Seems like you are using the custom OpenAI provider, please open the settings and configure the API key and base URL',
+            );
+            setError(true);
+            return;
+          } else {
+            chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+
+            if (
+              !chatModelProviders ||
+              Object.keys(chatModelProviders).length === 0
+            )
+              return toast.error('No chat models available');
+          }
+
+          const embeddingModelProviders = providers.embeddingModelProviders;

          if (
            !embeddingModelProviders ||
@ -67,9 +81,6 @@ const useSocket = (
          )
            return toast.error('No embedding models available');

-          chatModelProvider = Object.keys(chatModelProviders)[0];
-          chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
-
          embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
          embeddingModel = Object.keys(
            embeddingModelProviders[embeddingModelProvider],
@ -82,6 +93,56 @@ const useSocket = (
            'embeddingModelProvider',
            embeddingModelProvider,
          );
+        } else {
+          const providers = await fetch(
+            `${process.env.NEXT_PUBLIC_API_URL}/models`,
+            {
+              headers: {
+                'Content-Type': 'app  lication/json',
+              },
+            },
+          ).then(async (res) => await res.json());
+
+          const chatModelProviders = providers.chatModelProviders;
+          const embeddingModelProviders = providers.embeddingModelProviders;
+
+          if (
+            Object.keys(chatModelProviders).length > 0 &&
+            !chatModelProviders[chatModelProvider]
+          ) {
+            chatModelProvider = Object.keys(chatModelProviders)[0];
+            localStorage.setItem('chatModelProvider', chatModelProvider);
+          }
+
+          if (
+            chatModelProvider &&
+            chatModelProvider != 'custom_openai' &&
+            !chatModelProviders[chatModelProvider][chatModel]
+          ) {
+            chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+            localStorage.setItem('chatModel', chatModel);
+          }
+
+          if (
+            Object.keys(embeddingModelProviders).length > 0 &&
+            !embeddingModelProviders[embeddingModelProvider]
+          ) {
+            embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
+            localStorage.setItem(
+              'embeddingModelProvider',
+              embeddingModelProvider,
+            );
+          }
+
+          if (
+            embeddingModelProvider &&
+            !embeddingModelProviders[embeddingModelProvider][embeddingModel]
+          ) {
+            embeddingModel = Object.keys(
+              embeddingModelProviders[embeddingModelProvider],
+            )[0];
+            localStorage.setItem('embeddingModel', embeddingModel);
+          }
        }

        const wsURL = new URL(url);
@ -137,6 +198,13 @@ const useSocket = (
          console.log('[DEBUG] closed');
        };

+        ws.addEventListener('message', (e) => {
+          const data = JSON.parse(e.data);
+          if (data.type === 'error') {
+            toast.error(data.data);
+          }
+        });
+
        setWs(ws);
      };

@ -144,8 +212,10 @@ const useSocket = (
    }

    return () => {
-      ws?.close();
-      console.log('[DEBUG] closed');
+      if (ws?.readyState === 1) {
+        ws?.close();
+        console.log('[DEBUG] closed');
+      }
    };
  }, [ws, url, setIsWSReady, setError]);

@ -158,6 +228,7 @@ const loadMessages = async (
  setIsMessagesLoaded: (loaded: boolean) => void,
  setChatHistory: (history: [string, string][]) => void,
  setFocusMode: (mode: string) => void,
+  setNotFound: (notFound: boolean) => void,
 ) => {
  const res = await fetch(
    `${process.env.NEXT_PUBLIC_API_URL}/chats/${chatId}`,
@ -169,6 +240,12 @@ const loadMessages = async (
    },
  );

+  if (res.status === 404) {
+    setNotFound(true);
+    setIsMessagesLoaded(true);
+    return;
+  }
+
  const data = await res.json();

  const messages = data.messages.map((msg: any) => {
@ -190,7 +267,6 @@ const loadMessages = async (

  setChatHistory(history);
  setFocusMode(data.chat.focusMode);
-  console.log(data);
  setIsMessagesLoaded(true);
 };

@ -221,6 +297,8 @@ const ChatWindow = ({ id }: { id?: string }) => {

  const [isMessagesLoaded, setIsMessagesLoaded] = useState(false);

+  const [notFound, setNotFound] = useState(false);
+
  useEffect(() => {
    if (
      chatId &&
@ -234,6 +312,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
        setIsMessagesLoaded,
        setChatHistory,
        setFocusMode,
+        setNotFound,
      );
    } else if (!chatId) {
      setNewChatCreated(true);
@ -416,26 +495,30 @@ const ChatWindow = ({ id }: { id?: string }) => {
  }

  return isReady ? (
-    <div>
-      {messages.length > 0 ? (
-        <>
-          <Navbar messages={messages} />
-          <Chat
-            loading={loading}
-            messages={messages}
+    notFound ? (
+      <Error statusCode={404} />
+    ) : (
+      <div>
+        {messages.length > 0 ? (
+          <>
+            <Navbar messages={messages} />
+            <Chat
+              loading={loading}
+              messages={messages}
+              sendMessage={sendMessage}
+              messageAppeared={messageAppeared}
+              rewrite={rewrite}
+            />
+          </>
+        ) : (
+          <EmptyChat
            sendMessage={sendMessage}
-            messageAppeared={messageAppeared}
-            rewrite={rewrite}
+            focusMode={focusMode}
+            setFocusMode={setFocusMode}
          />
-        </>
-      ) : (
-        <EmptyChat
-          sendMessage={sendMessage}
-          focusMode={focusMode}
-          setFocusMode={setFocusMode}
-        />
-      )}
-    </div>
+        )}
+      </div>
+    )
  ) : (
    <div className="flex flex-row items-center justify-center min-h-screen">
      <svg
--- a/ui/components/DeleteChat.tsx
+++ b/ui/components/DeleteChat.tsx
@ -0,0 +1,114 @@
+import { Delete, Trash } from 'lucide-react';
+import { Dialog, Transition } from '@headlessui/react';
+import { Fragment, useState } from 'react';
+import { toast } from 'sonner';
+import { Chat } from '@/app/library/page';
+
+const DeleteChat = ({
+  chatId,
+  chats,
+  setChats,
+}: {
+  chatId: string;
+  chats: Chat[];
+  setChats: (chats: Chat[]) => void;
+}) => {
+  const [confirmationDialogOpen, setConfirmationDialogOpen] = useState(false);
+  const [loading, setLoading] = useState(false);
+
+  const handleDelete = async () => {
+    setLoading(true);
+    try {
+      const res = await fetch(
+        `${process.env.NEXT_PUBLIC_API_URL}/chats/${chatId}`,
+        {
+          method: 'DELETE',
+          headers: {
+            'Content-Type': 'application/json',
+          },
+        },
+      );
+
+      if (res.status != 200) {
+        throw new Error('Failed to delete chat');
+      }
+
+      const newChats = chats.filter((chat) => chat.id !== chatId);
+
+      setChats(newChats);
+    } catch (err: any) {
+      toast.error(err.message);
+    } finally {
+      setConfirmationDialogOpen(false);
+      setLoading(false);
+    }
+  };
+
+  return (
+    <>
+      <button
+        onClick={() => {
+          setConfirmationDialogOpen(true);
+        }}
+        className="bg-transparent text-red-400 hover:scale-105 transition duration-200"
+      >
+        <Trash size={17} />
+      </button>
+      <Transition appear show={confirmationDialogOpen} as={Fragment}>
+        <Dialog
+          as="div"
+          className="relative z-50"
+          onClose={() => {
+            if (!loading) {
+              setConfirmationDialogOpen(false);
+            }
+          }}
+        >
+          <Dialog.Backdrop className="fixed inset-0 bg-black/30" />
+          <div className="fixed inset-0 overflow-y-auto">
+            <div className="flex min-h-full items-center justify-center p-4 text-center">
+              <Transition.Child
+                as={Fragment}
+                enter="ease-out duration-200"
+                enterFrom="opacity-0 scale-95"
+                enterTo="opacity-100 scale-100"
+                leave="ease-in duration-100"
+                leaveFrom="opacity-100 scale-200"
+                leaveTo="opacity-0 scale-95"
+              >
+                <Dialog.Panel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
+                  <Dialog.Title className="text-lg font-medium leading-6 dark:text-white">
+                    Delete Confirmation
+                  </Dialog.Title>
+                  <Dialog.Description className="text-sm dark:text-white/70 text-black/70">
+                    Are you sure you want to delete this chat?
+                  </Dialog.Description>
+                  <div className="flex flex-row items-end justify-end space-x-4 mt-6">
+                    <button
+                      onClick={() => {
+                        if (!loading) {
+                          setConfirmationDialogOpen(false);
+                        }
+                      }}
+                      className="text-black/50 dark:text-white/50 text-sm hover:text-black/70 hover:dark:text-white/70 transition duration-200"
+                    >
+                      Cancel
+                    </button>
+                    <button
+                      onClick={handleDelete}
+                      className="text-red-400 text-sm hover:text-red-500 transition duration200"
+                    >
+                      Delete
+                    </button>
+                  </div>
+                </Dialog.Panel>
+              </Transition.Child>
+            </div>
+          </div>
+        </Dialog>
+      </Transition>
+    </>
+  );
+};
+
+export default DeleteChat;
--- a/ui/components/SettingsDialog.tsx
+++ b/ui/components/SettingsDialog.tsx
@ -56,6 +56,7 @@ interface SettingsType {
  };
  openaiApiKey: string;
  groqApiKey: string;
+  anthropicApiKey: string;
  ollamaApiUrl: string;
 }

@ -224,9 +225,13 @@ const SettingsDialog = ({
                          value={selectedChatModelProvider ?? undefined}
                          onChange={(e) => {
                            setSelectedChatModelProvider(e.target.value);
-                            setSelectedChatModel(
-                              config.chatModelProviders[e.target.value][0],
-                            );
+                            if (e.target.value === 'custom_openai') {
+                              setSelectedChatModel('');
+                            } else {
+                              setSelectedChatModel(
+                                config.chatModelProviders[e.target.value][0],
+                              );
+                            }
                          }}
                          options={Object.keys(config.chatModelProviders).map(
                            (provider) => ({
@ -439,6 +444,22 @@ const SettingsDialog = ({
                        }
                      />
                    </div>
+                    <div className="flex flex-col space-y-1">
+                      <p className="text-black/70 dark:text-white/70 text-sm">
+                        Anthropic API Key
+                      </p>
+                      <Input
+                        type="text"
+                        placeholder="Anthropic API key"
+                        defaultValue={config.anthropicApiKey}
+                        onChange={(e) =>
+                          setConfig({
+                            ...config,
+                            anthropicApiKey: e.target.value,
+                          })
+                        }
+                      />
+                    </div>
                  </div>
                )}
                {isLoading && (
--- a/ui/package.json
+++ b/ui/package.json
@ -1,6 +1,6 @@
 {
  "name": "perplexica-frontend",
-  "version": "1.7.0",
+  "version": "1.9.0-rc1",
  "license": "MIT",
  "author": "ItzCrazyKns",
  "scripts": {
--- a/yarn.lock
+++ b/yarn.lock
@ -2,6 +2,20 @@
 # yarn lockfile v1


+"@anthropic-ai/sdk@^0.22.0":
+  version "0.22.0"
+  resolved "https://registry.yarnpkg.com/@anthropic-ai/sdk/-/sdk-0.22.0.tgz#548e4218d9810fd494e595d4e57cb2d46d301a1a"
+  integrity sha512-dv4BCC6FZJw3w66WNLsHlUFjhu19fS1L/5jMPApwhZLa/Oy1j0A2i3RypmDtHEPp4Wwg3aZkSHksp7VzYWjzmw==
+  dependencies:
+    "@types/node" "^18.11.18"
+    "@types/node-fetch" "^2.6.4"
+    abort-controller "^3.0.0"
+    agentkeepalive "^4.2.1"
+    form-data-encoder "1.7.2"
+    formdata-node "^4.3.2"
+    node-fetch "^2.6.7"
+    web-streams-polyfill "^3.2.1"
+
 "@anthropic-ai/sdk@^0.9.1":
  version "0.9.1"
  resolved "https://registry.yarnpkg.com/@anthropic-ai/sdk/-/sdk-0.9.1.tgz#b2d2b7bf05c90dce502c9a2e869066870f69ba88"
@ -307,6 +321,34 @@
    "@jridgewell/resolve-uri" "^3.0.3"
    "@jridgewell/sourcemap-codec" "^1.4.10"

+"@langchain/anthropic@^0.2.3":
+  version "0.2.3"
+  resolved "https://registry.yarnpkg.com/@langchain/anthropic/-/anthropic-0.2.3.tgz#1505da939f47c90e53dfede0407c497b8177bdf0"
+  integrity sha512-f2fqzLGcvsXXUyZ1vl8cgwkKDGLshOGrPuR9hkhGuBG5m91eq755OqPBxWJuS1TFtNU813cXft3xh0MQbxavwg==
+  dependencies:
+    "@anthropic-ai/sdk" "^0.22.0"
+    "@langchain/core" ">=0.2.9 <0.3.0"
+    fast-xml-parser "^4.3.5"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.4"
+
+"@langchain/community@^0.2.16":
+  version "0.2.16"
+  resolved "https://registry.yarnpkg.com/@langchain/community/-/community-0.2.16.tgz#5888baf7fc7ea272c5f91aaa0e71bc444167262d"
+  integrity sha512-dFDcMabKACvuRd0w6EIRLWf1ubPGZEeEwFt9v1jiEr4HCFxH0OF+iM1QUCcVRbB2fK5lqmKeTD1XAeZV8+AyXA==
+  dependencies:
+    "@langchain/core" "~0.2.11"
+    "@langchain/openai" "~0.1.0"
+    binary-extensions "^2.2.0"
+    expr-eval "^2.0.2"
+    flat "^5.0.2"
+    js-yaml "^4.1.0"
+    langchain "0.2.3"
+    langsmith "~0.1.30"
+    uuid "^9.0.0"
+    zod "^3.22.3"
+    zod-to-json-schema "^3.22.5"
+
 "@langchain/community@~0.0.41":
  version "0.0.43"
  resolved "https://registry.yarnpkg.com/@langchain/community/-/community-0.0.43.tgz#017e2f9b3209b3999482f10df5aec2520731a63c"
@ -320,6 +362,42 @@
    uuid "^9.0.0"
    zod "^3.22.3"

+"@langchain/core@>0.1.56 <0.3.0", "@langchain/core@>0.2.0 <0.3.0", "@langchain/core@>=0.2.5 <0.3.0", "@langchain/core@~0.2.0", "@langchain/core@~0.2.11":
+  version "0.2.11"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.2.11.tgz#5f47467e20e56b250831baef20083657c6facb4c"
+  integrity sha512-d4SNL7WI0c3oHrV4WxCRH1/TNqdePXEzYjYwIb4aEH6lW1aM0utGhLbNthX+aYkOL4Ynx2FoG4h91ECIipiKWQ==
+  dependencies:
+    ansi-styles "^5.0.0"
+    camelcase "6"
+    decamelize "1.2.0"
+    js-tiktoken "^1.0.12"
+    langsmith "~0.1.30"
+    ml-distance "^4.0.0"
+    mustache "^4.2.0"
+    p-queue "^6.6.2"
+    p-retry "4"
+    uuid "^9.0.0"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.3"
+
+"@langchain/core@>=0.2.9 <0.3.0":
+  version "0.2.15"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.2.15.tgz#1bb99ac4fffe935c7ba37edcaa91abfba3c82219"
+  integrity sha512-L096itIBQ5XNsy5BCCPqIQEk/x4rzI+U4BhYT+fDBYtljESshIi/WzXdmiGfY/6MpVjB76jNuaRgMDmo1m9NeQ==
+  dependencies:
+    ansi-styles "^5.0.0"
+    camelcase "6"
+    decamelize "1.2.0"
+    js-tiktoken "^1.0.12"
+    langsmith "~0.1.30"
+    ml-distance "^4.0.0"
+    mustache "^4.2.0"
+    p-queue "^6.6.2"
+    p-retry "4"
+    uuid "^10.0.0"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.3"
+
 "@langchain/core@~0.1.44", "@langchain/core@~0.1.45":
  version "0.1.52"
  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.1.52.tgz#7619310b83ffa841628efe2e1eda873ca714d068"
@ -348,6 +426,36 @@
    zod "^3.22.4"
    zod-to-json-schema "^3.22.3"

+"@langchain/openai@~0.0.28":
+  version "0.0.34"
+  resolved "https://registry.yarnpkg.com/@langchain/openai/-/openai-0.0.34.tgz#36c9bca0721ab9f7e5d40927e7c0429cacbd5b56"
+  integrity sha512-M+CW4oXle5fdoz2T2SwdOef8pl3/1XmUx1vjn2mXUVM/128aO0l23FMF0SNBsAbRV6P+p/TuzjodchJbi0Ht/A==
+  dependencies:
+    "@langchain/core" ">0.1.56 <0.3.0"
+    js-tiktoken "^1.0.12"
+    openai "^4.41.1"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.3"
+
+"@langchain/openai@~0.1.0":
+  version "0.1.3"
+  resolved "https://registry.yarnpkg.com/@langchain/openai/-/openai-0.1.3.tgz#6eb0994e970d85ffa9aaeafb94449024ccf6ca63"
+  integrity sha512-riv/JC9x2A8b7GcHu8sx+mlZJ8KAwSSi231IPTlcciYnKozmrQ5H0vrtiD31fxiDbaRsk7tyCpkSBIOQEo7CyQ==
+  dependencies:
+    "@langchain/core" ">=0.2.5 <0.3.0"
+    js-tiktoken "^1.0.12"
+    openai "^4.49.1"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.3"
+
+"@langchain/textsplitters@~0.0.0":
+  version "0.0.3"
+  resolved "https://registry.yarnpkg.com/@langchain/textsplitters/-/textsplitters-0.0.3.tgz#1a3cc93dd2ab330edb225400ded190a22fea14e3"
+  integrity sha512-cXWgKE3sdWLSqAa8ykbCcUsUF1Kyr5J3HOWYGuobhPEycXW4WI++d5DhzdpL238mzoEXTi90VqfSCra37l5YqA==
+  dependencies:
+    "@langchain/core" ">0.2.0 <0.3.0"
+    js-tiktoken "^1.0.12"
+
 "@protobufjs/aspromise@^1.1.1", "@protobufjs/aspromise@^1.1.2":
  version "1.1.2"
  resolved "https://registry.yarnpkg.com/@protobufjs/aspromise/-/aspromise-1.1.2.tgz#9b8b0cc663d669a7d8f6f5d0893a14d348f30fbf"
@ -401,6 +509,14 @@
  resolved "https://registry.yarnpkg.com/@protobufjs/utf8/-/utf8-1.1.0.tgz#a777360b5b39a1a2e5106f8e858f2fd2d060c570"
  integrity sha512-Vvn3zZrhQZkkBE8LSuW3em98c0FwgO4nxzv6OdSxPKJIEKY2bGbHn+mhGIPerzI4twdxaP8/0+06HBpwf345Lw==

+"@selderee/plugin-htmlparser2@^0.11.0":
+  version "0.11.0"
+  resolved "https://registry.yarnpkg.com/@selderee/plugin-htmlparser2/-/plugin-htmlparser2-0.11.0.tgz#d5b5e29a7ba6d3958a1972c7be16f4b2c188c517"
+  integrity sha512-P33hHGdldxGabLFjPPpaTxVolMrzrcegejx+0GxjrIb9Zv48D8yAIA/QTDR2dFl7Uz7urX8aX6+5bCZslr+gWQ==
+  dependencies:
+    domhandler "^5.0.3"
+    selderee "^0.11.0"
+
 "@tsconfig/node10@^1.0.7":
  version "1.0.11"
  resolved "https://registry.yarnpkg.com/@tsconfig/node10/-/node10-1.0.11.tgz#6ee46400685f130e278128c7b38b7e031ff5b2f2"
@ -470,6 +586,11 @@
    "@types/qs" "*"
    "@types/serve-static" "*"

+"@types/html-to-text@^9.0.4":
+  version "9.0.4"
+  resolved "https://registry.yarnpkg.com/@types/html-to-text/-/html-to-text-9.0.4.tgz#4a83dd8ae8bfa91457d0b1ffc26f4d0537eff58c"
+  integrity sha512-pUY3cKH/Nm2yYrEmDlPR1mR7yszjGx4DrwPjQ702C4/D5CwHuZTgZdIdwPkRbcuhs7BAh2L5rg3CL5cbRiGTCQ==
+
 "@types/http-errors@*":
  version "2.0.4"
  resolved "https://registry.yarnpkg.com/@types/http-errors/-/http-errors-2.0.4.tgz#7eb47726c391b7345a6ec35ad7f4de469cf5ba4f"
@ -514,6 +635,11 @@
  dependencies:
    undici-types "~5.26.4"

+"@types/pdf-parse@^1.1.4":
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/@types/pdf-parse/-/pdf-parse-1.1.4.tgz#21a539efd2f16009d08aeed3350133948b5d7ed1"
+  integrity sha512-+gbBHbNCVGGYw1S9lAIIvrHW47UYOhMIFUsJcMkMrzy1Jf0vulBN3XQIjPgnoOXveMuHnF3b57fXROnY/Or7eg==
+
 "@types/qs@*":
  version "6.9.14"
  resolved "https://registry.yarnpkg.com/@types/qs/-/qs-6.9.14.tgz#169e142bfe493895287bee382af6039795e9b75b"
@ -984,6 +1110,13 @@ debug@2.6.9:
  dependencies:
    ms "2.0.0"

+debug@^3.1.0:
+  version "3.2.7"
+  resolved "https://registry.yarnpkg.com/debug/-/debug-3.2.7.tgz#72580b7e9145fb39b6676f9c5e5fb100b934179a"
+  integrity sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ==
+  dependencies:
+    ms "^2.1.1"
+
 debug@^4:
  version "4.3.4"
  resolved "https://registry.yarnpkg.com/debug/-/debug-4.3.4.tgz#1319f6579357f2338d3337d2cdd4914bb5dcc865"
@ -1015,6 +1148,11 @@ deep-extend@^0.6.0:
  resolved "https://registry.yarnpkg.com/deep-extend/-/deep-extend-0.6.0.tgz#c4fa7c95404a17a9c3e8ca7e1537312b736330ac"
  integrity sha512-LOHxIOaPYdHlJRtCQfDIVZtfw/ufM8+rVj649RIHzcm/vGwQRXFt6OPqIFWsm2XEMrNIEtWR64sY1LEKD2vAOA==

+deepmerge@^4.3.1:
+  version "4.3.1"
+  resolved "https://registry.yarnpkg.com/deepmerge/-/deepmerge-4.3.1.tgz#44b5f2147cd3b00d4b56137685966f26fd25dd4a"
+  integrity sha512-3sUqbMEc77XqpdNO7FRyRog+eW3ph+GYCbj+rK+uYyRMuwsVy0rMiVtPn+QJlKFvWP/1PYpapqYn0Me2knFn+A==
+
 define-data-property@^1.1.4:
  version "1.1.4"
  resolved "https://registry.yarnpkg.com/define-data-property/-/define-data-property-1.1.4.tgz#894dc141bb7d3060ae4366f6a0107e68fbe48c5e"
@ -1057,6 +1195,36 @@ digest-fetch@^1.3.0:
    base-64 "^0.1.0"
    md5 "^2.3.0"

+dom-serializer@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/dom-serializer/-/dom-serializer-2.0.0.tgz#e41b802e1eedf9f6cae183ce5e622d789d7d8e53"
+  integrity sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==
+  dependencies:
+    domelementtype "^2.3.0"
+    domhandler "^5.0.2"
+    entities "^4.2.0"
+
+domelementtype@^2.3.0:
+  version "2.3.0"
+  resolved "https://registry.yarnpkg.com/domelementtype/-/domelementtype-2.3.0.tgz#5c45e8e869952626331d7aab326d01daf65d589d"
+  integrity sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==
+
+domhandler@^5.0.2, domhandler@^5.0.3:
+  version "5.0.3"
+  resolved "https://registry.yarnpkg.com/domhandler/-/domhandler-5.0.3.tgz#cc385f7f751f1d1fc650c21374804254538c7d31"
+  integrity sha512-cgwlv/1iFQiFnU96XXgROh8xTeetsnJiDsTc7TYCLFd9+/WNkIqPTxiM/8pSd8VIrhXGTf1Ny1q1hquVqDJB5w==
+  dependencies:
+    domelementtype "^2.3.0"
+
+domutils@^3.0.1:
+  version "3.1.0"
+  resolved "https://registry.yarnpkg.com/domutils/-/domutils-3.1.0.tgz#c47f551278d3dc4b0b1ab8cbb42d751a6f0d824e"
+  integrity sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==
+  dependencies:
+    dom-serializer "^2.0.0"
+    domelementtype "^2.3.0"
+    domhandler "^5.0.3"
+
 dotenv@^16.4.5:
  version "16.4.5"
  resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-16.4.5.tgz#cdd3b3b604cb327e286b4762e13502f717cb099f"
@ -1098,6 +1266,11 @@ end-of-stream@^1.1.0, end-of-stream@^1.4.1:
  dependencies:
    once "^1.4.0"

+entities@^4.2.0, entities@^4.4.0:
+  version "4.5.0"
+  resolved "https://registry.yarnpkg.com/entities/-/entities-4.5.0.tgz#5d268ea5e7113ec74c4d033b79ea5a35a488fb48"
+  integrity sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==
+
 es-define-property@^1.0.0:
  version "1.0.0"
  resolved "https://registry.yarnpkg.com/es-define-property/-/es-define-property-1.0.0.tgz#c7faefbdff8b2696cf5f46921edfb77cc4ba3845"
@ -1246,6 +1419,13 @@ fast-fifo@^1.1.0, fast-fifo@^1.2.0:
  resolved "https://registry.yarnpkg.com/fast-fifo/-/fast-fifo-1.3.2.tgz#286e31de96eb96d38a97899815740ba2a4f3640c"
  integrity sha512-/d9sfos4yxzpwkDkuN7k2SqFKtYNmCTzgfEpz82x34IM9/zc8KGxQoXg1liNC/izpRM/MBdt44Nmx41ZWqk+FQ==

+fast-xml-parser@^4.3.5:
+  version "4.4.0"
+  resolved "https://registry.yarnpkg.com/fast-xml-parser/-/fast-xml-parser-4.4.0.tgz#341cc98de71e9ba9e651a67f41f1752d1441a501"
+  integrity sha512-kLY3jFlwIYwBNDojclKsNAC12sfD6NwW74QB2CoNGPvtVxjliYehVunB3HYyNi+n4Tt1dAcgwYvmKF/Z18flqg==
+  dependencies:
+    strnum "^1.0.5"
+
 fecha@^4.2.0:
  version "4.2.3"
  resolved "https://registry.yarnpkg.com/fecha/-/fecha-4.2.3.tgz#4d9ccdbc61e8629b259fdca67e65891448d569fd"
@ -1414,6 +1594,27 @@ hasown@^2.0.0:
  dependencies:
    function-bind "^1.1.2"

+html-to-text@^9.0.5:
+  version "9.0.5"
+  resolved "https://registry.yarnpkg.com/html-to-text/-/html-to-text-9.0.5.tgz#6149a0f618ae7a0db8085dca9bbf96d32bb8368d"
+  integrity sha512-qY60FjREgVZL03vJU6IfMV4GDjGBIoOyvuFdpBDIX9yTlDw0TjxVBQp+P8NvpdIXNJvfWBTNul7fsAQJq2FNpg==
+  dependencies:
+    "@selderee/plugin-htmlparser2" "^0.11.0"
+    deepmerge "^4.3.1"
+    dom-serializer "^2.0.0"
+    htmlparser2 "^8.0.2"
+    selderee "^0.11.0"
+
+htmlparser2@^8.0.2:
+  version "8.0.2"
+  resolved "https://registry.yarnpkg.com/htmlparser2/-/htmlparser2-8.0.2.tgz#f002151705b383e62433b5cf466f5b716edaec21"
+  integrity sha512-GYdjWKDkbRLkZ5geuHs5NY1puJ+PXwP7+fHPRz06Eirsb9ugf6d8kkXav6ADhcODhFFPMIXyxkxSuMf3D6NCFA==
+  dependencies:
+    domelementtype "^2.3.0"
+    domhandler "^5.0.3"
+    domutils "^3.0.1"
+    entities "^4.4.0"
+
 http-errors@2.0.0:
  version "2.0.0"
  resolved "https://registry.yarnpkg.com/http-errors/-/http-errors-2.0.0.tgz#b7774a1486ef73cf7667ac9ae0858c012c57b9d3"
@ -1508,6 +1709,13 @@ is-stream@^2.0.0:
  resolved "https://registry.yarnpkg.com/is-stream/-/is-stream-2.0.1.tgz#fac1e3d53b97ad5a9d0ae9cef2389f5810a5c077"
  integrity sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg==

+js-tiktoken@^1.0.12:
+  version "1.0.12"
+  resolved "https://registry.yarnpkg.com/js-tiktoken/-/js-tiktoken-1.0.12.tgz#af0f5cf58e5e7318240d050c8413234019424211"
+  integrity sha512-L7wURW1fH9Qaext0VzaUDpFGVQgjkdE3Dgsy9/+yXyGEpBKnylTd0mU0bfbNkKDlXRb6TEsZkwuflu1B8uQbJQ==
+  dependencies:
+    base64-js "^1.5.1"
+
 js-tiktoken@^1.0.7, js-tiktoken@^1.0.8:
  version "1.0.10"
  resolved "https://registry.yarnpkg.com/js-tiktoken/-/js-tiktoken-1.0.10.tgz#2b343ec169399dcee8f9ef9807dbd4fafd3b30dc"
@ -1532,6 +1740,28 @@ kuler@^2.0.0:
  resolved "https://registry.yarnpkg.com/kuler/-/kuler-2.0.0.tgz#e2c570a3800388fb44407e851531c1d670b061b3"
  integrity sha512-Xq9nH7KlWZmXAtodXDDRE7vs6DU1gTU8zYDHDiWLSip45Egwq3plLHzPn27NgvzL2r1LMPC1vdqh98sQxtqj4A==

+langchain@0.2.3:
+  version "0.2.3"
+  resolved "https://registry.yarnpkg.com/langchain/-/langchain-0.2.3.tgz#c14bb05cf871b21bd63b84b3ab89580b1d62539f"
+  integrity sha512-T9xR7zd+Nj0oXy6WoYKmZLy0DlQiDLFPGYWdOXDxy+AvqlujoPdVQgDSpdqiOHvAjezrByAoKxoHCz5XMwTP/Q==
+  dependencies:
+    "@langchain/core" "~0.2.0"
+    "@langchain/openai" "~0.0.28"
+    "@langchain/textsplitters" "~0.0.0"
+    binary-extensions "^2.2.0"
+    js-tiktoken "^1.0.12"
+    js-yaml "^4.1.0"
+    jsonpointer "^5.0.1"
+    langchainhub "~0.0.8"
+    langsmith "~0.1.7"
+    ml-distance "^4.0.0"
+    openapi-types "^12.1.3"
+    p-retry "4"
+    uuid "^9.0.0"
+    yaml "^2.2.1"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.3"
+
 langchain@^0.1.30:
  version "0.1.30"
  resolved "https://registry.yarnpkg.com/langchain/-/langchain-0.1.30.tgz#e1adb3f1849fcd5c596c668300afd5dc8cb37a97"
@ -1571,6 +1801,28 @@ langsmith@~0.1.1, langsmith@~0.1.7:
    p-retry "4"
    uuid "^9.0.0"

+langsmith@~0.1.30:
+  version "0.1.34"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.1.34.tgz#801310495fef258ed9c22bb5575120e2c06d51cf"
+  integrity sha512-aMv2k8kEaovhTuZnK6/6DMCoM7Jurvm1AzdESn+yN+HramRxp3sK32jFRz3ogkXP6GjAjOIofcnNkzhHXSUXGA==
+  dependencies:
+    "@types/uuid" "^9.0.1"
+    commander "^10.0.1"
+    lodash.set "^4.3.2"
+    p-queue "^6.6.2"
+    p-retry "4"
+    uuid "^9.0.0"
+
+leac@^0.6.0:
+  version "0.6.0"
+  resolved "https://registry.yarnpkg.com/leac/-/leac-0.6.0.tgz#dcf136e382e666bd2475f44a1096061b70dc0912"
+  integrity sha512-y+SqErxb8h7nE/fiEX07jsbuhrpO9lL8eca7/Y1nuWV2moNlXhyd59iDGcRf6moVyDMbmTNzL40SUyrFU/yDpg==
+
+lodash.set@^4.3.2:
+  version "4.3.2"
+  resolved "https://registry.yarnpkg.com/lodash.set/-/lodash.set-4.3.2.tgz#d8757b1da807dde24816b0d6a84bea1a76230b23"
+  integrity sha512-4hNPN5jlm/N/HLMCO43v8BXKq9Z7QdAGc/VGrRD61w8gN9g/6jF9A4L1pbUgBLCffi0w9VsXfTOij5x8iTyFvg==
+
 logform@^2.3.2, logform@^2.4.0:
  version "2.6.0"
  resolved "https://registry.yarnpkg.com/logform/-/logform-2.6.0.tgz#8c82a983f05d6eaeb2d75e3decae7a768b2bf9b5"
@ -1714,6 +1966,11 @@ ms@2.1.3, ms@^2.0.0, ms@^2.1.1:
  resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.3.tgz#574c8138ce1d2b5861f0b44579dbadd60c6615b2"
  integrity sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==

+mustache@^4.2.0:
+  version "4.2.0"
+  resolved "https://registry.yarnpkg.com/mustache/-/mustache-4.2.0.tgz#e5892324d60a12ec9c2a73359edca52972bf6f64"
+  integrity sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ==
+
 napi-build-utils@^1.0.1:
  version "1.0.2"
  resolved "https://registry.yarnpkg.com/napi-build-utils/-/napi-build-utils-1.0.2.tgz#b1fddc0b2c46e380a0b7a76f984dd47c41a13806"
@ -1741,6 +1998,11 @@ node-domexception@1.0.0:
  resolved "https://registry.yarnpkg.com/node-domexception/-/node-domexception-1.0.0.tgz#6888db46a1f71c0b76b3f7555016b63fe64766e5"
  integrity sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==

+node-ensure@^0.0.0:
+  version "0.0.0"
+  resolved "https://registry.yarnpkg.com/node-ensure/-/node-ensure-0.0.0.tgz#ecae764150de99861ec5c810fd5d096b183932a7"
+  integrity sha512-DRI60hzo2oKN1ma0ckc6nQWlHU69RH6xN0sjQTjMpChPfTYvKZdcQFfdYK2RWbJcKyUizSIy/l8OTGxMAM1QDw==
+
 node-fetch@^2.6.7:
  version "2.7.0"
  resolved "https://registry.yarnpkg.com/node-fetch/-/node-fetch-2.7.0.tgz#d0f0fa6e3e2dc1d27efcd8ad99d550bda94d187d"
@ -1858,6 +2120,20 @@ openai@^4.26.0:
    node-fetch "^2.6.7"
    web-streams-polyfill "^3.2.1"

+openai@^4.41.1, openai@^4.49.1:
+  version "4.52.2"
+  resolved "https://registry.yarnpkg.com/openai/-/openai-4.52.2.tgz#5d67271f3df84c0b54676b08990eaa9402151759"
+  integrity sha512-mMc0XgFuVSkcm0lRIi8zaw++otC82ZlfkCur1qguXYWPETr/+ZwL9A/vvp3YahX+shpaT6j03dwsmUyLAfmEfg==
+  dependencies:
+    "@types/node" "^18.11.18"
+    "@types/node-fetch" "^2.6.4"
+    abort-controller "^3.0.0"
+    agentkeepalive "^4.2.1"
+    form-data-encoder "1.7.2"
+    formdata-node "^4.3.2"
+    node-fetch "^2.6.7"
+    web-streams-polyfill "^3.2.1"
+
 openapi-types@^12.1.3:
  version "12.1.3"
  resolved "https://registry.yarnpkg.com/openapi-types/-/openapi-types-12.1.3.tgz#471995eb26c4b97b7bd356aacf7b91b73e777dd3"
@ -1891,6 +2167,14 @@ p-timeout@^3.2.0:
  dependencies:
    p-finally "^1.0.0"

+parseley@^0.12.0:
+  version "0.12.1"
+  resolved "https://registry.yarnpkg.com/parseley/-/parseley-0.12.1.tgz#4afd561d50215ebe259e3e7a853e62f600683aef"
+  integrity sha512-e6qHKe3a9HWr0oMRVDTRhKce+bRO8VGQR3NyVwcjwrbhMmFCX9KszEV35+rn4AdilFAq9VPxP/Fe1wC9Qjd2lw==
+  dependencies:
+    leac "^0.6.0"
+    peberminta "^0.9.0"
+
 parseurl@~1.3.3:
  version "1.3.3"
  resolved "https://registry.yarnpkg.com/parseurl/-/parseurl-1.3.3.tgz#9da19e7bee8d12dff0513ed5b76957793bc2e8d4"
@ -1901,6 +2185,19 @@ path-to-regexp@0.1.7:
  resolved "https://registry.yarnpkg.com/path-to-regexp/-/path-to-regexp-0.1.7.tgz#df604178005f522f15eb4490e7247a1bfaa67f8c"
  integrity sha512-5DFkuoqlv1uYQKxy8omFBeJPQcdoE07Kv2sferDCrAq1ohOU+MSDswDIbnx3YAM60qIOnYa53wBhXW0EbMonrQ==

+pdf-parse@^1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/pdf-parse/-/pdf-parse-1.1.1.tgz#745e07408679548b3995ff896fd38e96e19d14a7"
+  integrity sha512-v6ZJ/efsBpGrGGknjtq9J/oC8tZWq0KWL5vQrk2GlzLEQPUDB1ex+13Rmidl1neNN358Jn9EHZw5y07FFtaC7A==
+  dependencies:
+    debug "^3.1.0"
+    node-ensure "^0.0.0"
+
+peberminta@^0.9.0:
+  version "0.9.0"
+  resolved "https://registry.yarnpkg.com/peberminta/-/peberminta-0.9.0.tgz#8ec9bc0eb84b7d368126e71ce9033501dca2a352"
+  integrity sha512-XIxfHpEuSJbITd1H3EeQwpcZbTLHc+VVr8ANI9t5sit565tsI4/xK3KWTUFE2e6QiangUkh3B0jihzmGnNrRsQ==
+
 picomatch@^2.0.4, picomatch@^2.2.1:
  version "2.3.1"
  resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-2.3.1.tgz#3ba3833733646d9d3e4995946c1365a67fb07a42"
@ -2062,6 +2359,13 @@ safe-stable-stringify@^2.3.1:
  resolved "https://registry.yarnpkg.com/safer-buffer/-/safer-buffer-2.1.2.tgz#44fa161b0187b9549dd84bb91802f9bd8385cd6a"
  integrity sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==

+selderee@^0.11.0:
+  version "0.11.0"
+  resolved "https://registry.yarnpkg.com/selderee/-/selderee-0.11.0.tgz#6af0c7983e073ad3e35787ffe20cefd9daf0ec8a"
+  integrity sha512-5TF+l7p4+OsnP8BCCvSyZiSPc4x4//p5uPwK8TCnVPJYRmU2aYKMpOXvw8zM5a5JvuuCGN1jmsMwuU2W02ukfA==
+  dependencies:
+    parseley "^0.12.0"
+
 semver@^7.3.5, semver@^7.5.3, semver@^7.5.4:
  version "7.6.0"
  resolved "https://registry.yarnpkg.com/semver/-/semver-7.6.0.tgz#1a46a4db4bffcccd97b743b5005c8325f23d4e2d"
@ -2212,6 +2516,11 @@ strip-json-comments@~2.0.1:
  resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-2.0.1.tgz#3c531942e908c2697c0ec344858c286c7ca0a60a"
  integrity sha512-4gB8na07fecVVkOI6Rs4e7T6NOTki5EmL7TUduTs6bu3EdnSycntVJ4re8kgZA+wx9IueI2Y11bfbgwtzuE0KQ==

+strnum@^1.0.5:
+  version "1.0.5"
+  resolved "https://registry.yarnpkg.com/strnum/-/strnum-1.0.5.tgz#5c4e829fe15ad4ff0d20c3db5ac97b73c9b072db"
+  integrity sha512-J8bbNyKKXl5qYcR36TIO8W3mVGVHrmmxsd5PAItGkmyzwJvybiw2IVq5nqd0i4LSNSkB/sx9VHllbfFdr9k1JA==
+
 supports-color@^5.5.0:
  version "5.5.0"
  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-5.5.0.tgz#e2e69a44ac8772f78a1ec0b35b689df6530efc8f"
@ -2358,6 +2667,11 @@ utils-merge@1.0.1:
  resolved "https://registry.yarnpkg.com/utils-merge/-/utils-merge-1.0.1.tgz#9f95710f50a267947b2ccc124741c1028427e713"
  integrity sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA==

+uuid@^10.0.0:
+  version "10.0.0"
+  resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
+  integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
+
 uuid@^9.0.0:
  version "9.0.1"
  resolved "https://registry.yarnpkg.com/uuid/-/uuid-9.0.1.tgz#e188d4c8853cc722220392c424cd637f32293f30"
@ -2462,6 +2776,11 @@ zod-to-json-schema@^3.22.3:
  resolved "https://registry.yarnpkg.com/zod-to-json-schema/-/zod-to-json-schema-3.22.5.tgz#3646e81cfc318dbad2a22519e5ce661615418673"
  integrity sha512-+akaPo6a0zpVCCseDed504KBJUQpEW5QZw7RMneNmKw+fGaML1Z9tUNLnHHAC8x6dzVRO1eB2oEMyZRnuBZg7Q==

+zod-to-json-schema@^3.22.4, zod-to-json-schema@^3.22.5:
+  version "3.23.1"
+  resolved "https://registry.yarnpkg.com/zod-to-json-schema/-/zod-to-json-schema-3.23.1.tgz#5225925b8ed5fa20096bd99be076c4b29b53d309"
+  integrity sha512-oT9INvydob1XV0v1d2IadrR74rLtDInLvDFfAa1CG0Pmg/vxATk7I2gSelfj271mbzeM4Da0uuDQE/Nkj3DWNw==
+
 zod@^3.22.3, zod@^3.22.4:
  version "3.22.4"
  resolved "https://registry.yarnpkg.com/zod/-/zod-3.22.4.tgz#f31c3a9386f61b1f228af56faa9255e845cf3fff"
Author	SHA1	Message	Date
ItzCrazyKns	96f67c7028	Merge pull request #290 from ItzCrazyKns/canary	2024-07-30 10:15:52 +05:30
ItzCrazyKns	61dfeb89b4	feat(package): bump version	2024-07-30 10:10:55 +05:30
ItzCrazyKns	8e4f0c6a6d	feat(web-search): add URL & PDF searching capibilities	2024-07-30 10:09:05 +05:30
ItzCrazyKns	6f50e25bf3	feat(output-parsers): add line output parser	2024-07-30 10:08:29 +05:30
ItzCrazyKns	9abb4b654d	feat(app): handle unhandled exception & rejection	2024-07-30 10:07:28 +05:30
ItzCrazyKns	0a29237732	feat(listLineOutputParser): handle invalid keys	2024-07-30 10:06:52 +05:30
ItzCrazyKns	c62e7f091e	feat(package): bump version	2024-07-25 20:39:43 +05:30
ItzCrazyKns	08379fcad5	feat(ws-connector): fix `undefined` chat model	2024-07-25 20:36:26 +05:30
ItzCrazyKns	cbce39a5dd	feat(settings): fix `undefined` model for custom OpenAI	2024-07-25 20:34:49 +05:30
ItzCrazyKns	27f8cfd212	feat(toast): fix theme colors	2024-07-25 20:33:56 +05:30
ItzCrazyKns	8a76f92e23	feat(groq): add Llama 3.1	2024-07-23 20:49:17 +05:30
ItzCrazyKns	00a52fc3b1	Delete .github/FUNDING.yml	2024-07-23 10:46:32 +05:30
ItzCrazyKns	8143eca2c1	feat(readme): remove patreon	2024-07-23 10:45:52 +05:30
ItzCrazyKns	9bb0b64044	Merge pull request #279 from zandko/perf/filter-first perf: Optimize document filtering and sorting for performance	2024-07-23 10:08:54 +05:30
Zan	323f3c516c	perf: Optimize document filtering and sorting for performance	2024-07-23 10:06:33 +08:00
ItzCrazyKns	c0b3a409dd	feat(package): bump version	2024-07-20 09:27:34 +05:30
ItzCrazyKns	9195cbcce0	feat(openai): add GPT-4 Omni mini	2024-07-20 09:26:46 +05:30
ItzCrazyKns	f02393dbe9	feat(providers): add anthropic	2024-07-15 21:20:16 +05:30
ItzCrazyKns	e1732b9bf2	feat(chat-window): fix WS connection errors	2024-07-14 12:37:36 +05:30
sjiampojamarn	fac41d3812	add gemma2-9b-it	2024-07-13 20:20:23 -07:00
ItzCrazyKns	27e6f5b9e1	feat(chat-window): unselect unavailable model	2024-07-09 16:21:45 +05:30
ItzCrazyKns	8539ce82ad	feat(providers): fix loading issues	2024-07-08 15:39:27 +05:30
ItzCrazyKns	3b4b8a8b02	feat(providers): add `custom_openai`	2024-07-08 15:24:45 +05:30
ItzCrazyKns	3ffb20b777	feat(backend): fix type errors	2024-07-08 01:31:11 +05:30
ItzCrazyKns	f4b58c7157	feat(dockerfile): revert base image back to slim	2024-07-06 15:13:05 +05:30
ItzCrazyKns	2678c36e44	feat(agents): fix grammar in prompt, closes 239 & 203	2024-07-06 15:12:51 +05:30
ItzCrazyKns	25b5dbd63e	feat(providers): separate each provider	2024-07-06 14:19:33 +05:30
ItzCrazyKns	c63c9b5c8a	feat(readme): update ollama guide	2024-07-03 21:02:21 +05:30
ItzCrazyKns	80818983d8	feat(package): bump version	2024-07-03 20:49:13 +05:30
ItzCrazyKns	5217d21366	feat(dockerfile): revert to `node:slim`	2024-07-03 20:47:31 +05:30
ItzCrazyKns	57ede99b83	Merge branch 'master' of https://github.com/ItzCrazyKns/Perplexica	2024-07-02 10:52:02 +05:30
ItzCrazyKns	c74e16e01c	feat(chats): add delete functionality	2024-07-02 10:51:47 +05:30
ItzCrazyKns	ce593daab9	Update README.md	2024-06-30 12:39:37 +05:30
ItzCrazyKns	fcf9b644af	Create FUNDING.yml	2024-06-30 12:34:32 +05:30
ItzCrazyKns	6ae825999a	feat(readme): update manual install	2024-06-30 10:45:35 +05:30
ItzCrazyKns	b291265944	feat(package): add `@langchain/community`	2024-06-30 10:42:01 +05:30
ItzCrazyKns	c62684407d	feat(chat-window): handle notFound errors	2024-06-29 12:11:34 +05:30
ItzCrazyKns	f4b01a29bb	feat(docs): update docs	2024-06-29 11:39:23 +05:30
ItzCrazyKns	022cf55db7	feat(docs): add update docs	2024-06-29 11:38:43 +05:30