feat(image-search): Use baseURL from env

.env.example

@@ -1,5 +1,5 @@
 PORT=3001
-OPENAI_API_KEY=
+OLLAMA_URL=http://localhost:11434 # url of the ollama server
 SIMILARITY_MEASURE=cosine # cosine or dot
 SEARXNG_API_URL= # no need to fill this if using docker
-MODEL_NAME=gpt-3.5-turbo
+MODEL_NAME=llama2

README.md

@@ -51,14 +51,15 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
 2. Clone the Perplexica repository:
 
    ```bash
-   git clone https://github.com/ItzCrazyKns/Perplexica.git
+   git clone -b feat/ollama-support https://github.com/ItzCrazyKns/Perplexica.git
    ```
 
 3. After cloning, navigate to the directory containing the project files.
 
 4. Rename the `.env.example` file to `.env`. For Docker setups, you need only fill in the following fields:
 
-   - `OPENAI_API_KEY`
+   - `OLLAMA_URL` (It should be the URL where Ollama is running; it is also filled by default but you need to replace it if your Ollama URL is different.)
+   - `MODEL_NAME` (This is filled by default; you can change it if you want to use a different model.)
    - `SIMILARITY_MEASURE` (This is filled by default; you can leave it as is if you are unsure about it.)
 
 5. Ensure you are in the directory containing the `docker-compose.yaml` file and execute:

src/agents/academicSearchAgent.ts

@@ -9,7 +9,9 @@ import {
   RunnableMap,
   RunnableLambda,
 } from '@langchain/core/runnables';
-import { ChatOpenAI, OpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { ChatOllama } from '@langchain/community/chat_models/ollama';
+import { Ollama } from '@langchain/community/llms/ollama';
+import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import { Document } from '@langchain/core/documents';
 import { searchSearxng } from '../core/searxng';
@@ -18,18 +20,21 @@ import formatChatHistoryAsString from '../utils/formatHistory';
 import eventEmitter from 'events';
 import computeSimilarity from '../utils/computeSimilarity';
 
-const chatLLM = new ChatOpenAI({
-  modelName: process.env.MODEL_NAME,
+const chatLLM = new ChatOllama({
+  baseUrl: process.env.OLLAMA_URL,
+  model: process.env.MODEL_NAME,
   temperature: 0.7,
 });
 
-const llm = new OpenAI({
+const llm = new Ollama({
   temperature: 0,
-  modelName: process.env.MODEL_NAME,
+  model: process.env.MODEL_NAME,
+  baseUrl: process.env.OLLAMA_URL,
 });
 
-const embeddings = new OpenAIEmbeddings({
-  modelName: 'text-embedding-3-large',
+const embeddings = new OllamaEmbeddings({
+  model: process.env.MODEL_NAME,
+  baseUrl: process.env.OLLAMA_URL,
 });
 
 const basicAcademicSearchRetrieverPrompt = `

src/agents/imageSearchAgent.ts

@@ -4,15 +4,16 @@ import {
   RunnableLambda,
 } from '@langchain/core/runnables';
 import { PromptTemplate } from '@langchain/core/prompts';
-import { OpenAI } from '@langchain/openai';
+import { Ollama } from '@langchain/community/llms/ollama';
 import formatChatHistoryAsString from '../utils/formatHistory';
 import { BaseMessage } from '@langchain/core/messages';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import { searchSearxng } from '../core/searxng';
 
-const llm = new OpenAI({
+const llm = new Ollama({
   temperature: 0,
-  modelName: process.env.MODEL_NAME,
+  model: process.env.MODEL_NAME,
+  baseUrl: process.env.OLLAMA_URL,
 });
 
 const imageSearchChainPrompt = `

src/agents/redditSearchAgent.ts

@@ -9,7 +9,9 @@ import {
   RunnableMap,
   RunnableLambda,
 } from '@langchain/core/runnables';
-import { ChatOpenAI, OpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { ChatOllama } from '@langchain/community/chat_models/ollama';
+import { Ollama } from '@langchain/community/llms/ollama';
+import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import { Document } from '@langchain/core/documents';
 import { searchSearxng } from '../core/searxng';
@@ -18,18 +20,21 @@ import formatChatHistoryAsString from '../utils/formatHistory';
 import eventEmitter from 'events';
 import computeSimilarity from '../utils/computeSimilarity';
 
-const chatLLM = new ChatOpenAI({
-  modelName: process.env.MODEL_NAME,
+const chatLLM = new ChatOllama({
+  baseUrl: process.env.OLLAMA_URL,
+  model: process.env.MODEL_NAME,
   temperature: 0.7,
 });
 
-const llm = new OpenAI({
+const llm = new Ollama({
   temperature: 0,
-  modelName: process.env.MODEL_NAME,
+  model: process.env.MODEL_NAME,
+  baseUrl: process.env.OLLAMA_URL,
 });
 
-const embeddings = new OpenAIEmbeddings({
-  modelName: 'text-embedding-3-large',
+const embeddings = new OllamaEmbeddings({
+  model: process.env.MODEL_NAME,
+  baseUrl: process.env.OLLAMA_URL,
 });
 
 const basicRedditSearchRetrieverPrompt = `

src/agents/webSearchAgent.ts

@@ -9,7 +9,9 @@ import {
   RunnableMap,
   RunnableLambda,
 } from '@langchain/core/runnables';
-import { ChatOpenAI, OpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { ChatOllama } from '@langchain/community/chat_models/ollama';
+import { Ollama } from '@langchain/community/llms/ollama';
+import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import { Document } from '@langchain/core/documents';
 import { searchSearxng } from '../core/searxng';
@@ -18,18 +20,21 @@ import formatChatHistoryAsString from '../utils/formatHistory';
 import eventEmitter from 'events';
 import computeSimilarity from '../utils/computeSimilarity';
 
-const chatLLM = new ChatOpenAI({
-  modelName: process.env.MODEL_NAME,
+const chatLLM = new ChatOllama({
+  baseUrl: process.env.OLLAMA_URL,
+  model: process.env.MODEL_NAME,
   temperature: 0.7,
 });
 
-const llm = new OpenAI({
+const llm = new Ollama({
   temperature: 0,
-  modelName: process.env.MODEL_NAME,
+  model: process.env.MODEL_NAME,
+  baseUrl: process.env.OLLAMA_URL,
 });
 
-const embeddings = new OpenAIEmbeddings({
-  modelName: 'text-embedding-3-large',
+const embeddings = new OllamaEmbeddings({
+  model: process.env.MODEL_NAME,
+  baseUrl: process.env.OLLAMA_URL,
 });
 
 const basicSearchRetrieverPrompt = `

src/agents/wolframAlphaSearchAgent.ts

@@ -9,7 +9,8 @@ import {
   RunnableMap,
   RunnableLambda,
 } from '@langchain/core/runnables';
-import { ChatOpenAI, OpenAI } from '@langchain/openai';
+import { ChatOllama } from '@langchain/community/chat_models/ollama';
+import { Ollama } from '@langchain/community/llms/ollama';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import { Document } from '@langchain/core/documents';
 import { searchSearxng } from '../core/searxng';
@@ -17,14 +18,16 @@ import type { StreamEvent } from '@langchain/core/tracers/log_stream';
 import formatChatHistoryAsString from '../utils/formatHistory';
 import eventEmitter from 'events';
 
-const chatLLM = new ChatOpenAI({
-  modelName: process.env.MODEL_NAME,
+const chatLLM = new ChatOllama({
+  baseUrl: process.env.OLLAMA_URL,
+  model: process.env.MODEL_NAME,
   temperature: 0.7,
 });
 
-const llm = new OpenAI({
+const llm = new Ollama({
   temperature: 0,
-  modelName: process.env.MODEL_NAME,
+  model: process.env.MODEL_NAME,
+  baseUrl: process.env.OLLAMA_URL,
 });
 
 const basicWolframAlphaSearchRetrieverPrompt = `

src/agents/writingAssistant.ts

@@ -4,13 +4,14 @@ import {
   MessagesPlaceholder,
 } from '@langchain/core/prompts';
 import { RunnableSequence } from '@langchain/core/runnables';
-import { ChatOpenAI } from '@langchain/openai';
+import { ChatOllama } from '@langchain/community/chat_models/ollama';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import type { StreamEvent } from '@langchain/core/tracers/log_stream';
 import eventEmitter from 'events';
 
-const chatLLM = new ChatOpenAI({
-  modelName: process.env.MODEL_NAME,
+const chatLLM = new ChatOllama({
+  baseUrl: process.env.OLLAMA_URL,
+  model: process.env.MODEL_NAME,
   temperature: 0.7,
 });
 

src/agents/youtubeSearchAgent.ts

@@ -9,7 +9,9 @@ import {
   RunnableMap,
   RunnableLambda,
 } from '@langchain/core/runnables';
-import { ChatOpenAI, OpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { ChatOllama } from '@langchain/community/chat_models/ollama';
+import { Ollama } from '@langchain/community/llms/ollama';
+import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import { Document } from '@langchain/core/documents';
 import { searchSearxng } from '../core/searxng';
@@ -18,18 +20,21 @@ import formatChatHistoryAsString from '../utils/formatHistory';
 import eventEmitter from 'events';
 import computeSimilarity from '../utils/computeSimilarity';
 
-const chatLLM = new ChatOpenAI({
-  modelName: process.env.MODEL_NAME,
+const chatLLM = new ChatOllama({
+  baseUrl: process.env.OLLAMA_URL,
+  model: process.env.MODEL_NAME,
   temperature: 0.7,
 });
 
-const llm = new OpenAI({
+const llm = new Ollama({
   temperature: 0,
-  modelName: process.env.MODEL_NAME,
+  model: process.env.MODEL_NAME,
+  baseUrl: process.env.OLLAMA_URL,
 });
 
-const embeddings = new OpenAIEmbeddings({
-  modelName: 'text-embedding-3-large',
+const embeddings = new OllamaEmbeddings({
+  model: process.env.MODEL_NAME,
+  baseUrl: process.env.OLLAMA_URL,
 });
 
 const basicYoutubeSearchRetrieverPrompt = `