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develop/v1
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37
.github/workflows/docker-build.yaml
vendored
37
.github/workflows/docker-build.yaml
vendored
@ -10,6 +10,9 @@ on:
|
||||
jobs:
|
||||
build-and-push:
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
matrix:
|
||||
service: [backend, app]
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v3
|
||||
@ -33,24 +36,38 @@ jobs:
|
||||
id: version
|
||||
run: echo "RELEASE_VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_ENV
|
||||
|
||||
- name: Build and push Docker image (latest)
|
||||
- name: Build and push Docker image for ${{ matrix.service }}
|
||||
if: github.ref == 'refs/heads/master' && github.event_name == 'push'
|
||||
run: |
|
||||
docker buildx create --use
|
||||
docker buildx build --platform linux/amd64,linux/arm64,linux/arm/v7 \
|
||||
--cache-from=type=registry,ref=itzcrazykns1337/perplexica:latest \
|
||||
if [[ "${{ matrix.service }}" == "backend" ]]; then \
|
||||
DOCKERFILE=backend.dockerfile; \
|
||||
IMAGE_NAME=perplexica-backend; \
|
||||
else \
|
||||
DOCKERFILE=app.dockerfile; \
|
||||
IMAGE_NAME=perplexica-frontend; \
|
||||
fi
|
||||
docker buildx build --platform linux/amd64,linux/arm64 \
|
||||
--cache-from=type=registry,ref=itzcrazykns1337/${IMAGE_NAME}:main \
|
||||
--cache-to=type=inline \
|
||||
-f docker/Dockerfile \
|
||||
-t itzcrazykns1337/perplexica:latest \
|
||||
-f $DOCKERFILE \
|
||||
-t itzcrazykns1337/${IMAGE_NAME}:main \
|
||||
--push .
|
||||
|
||||
- name: Build and push Docker image (release)
|
||||
- name: Build and push release Docker image for ${{ matrix.service }}
|
||||
if: github.event_name == 'release'
|
||||
run: |
|
||||
docker buildx create --use
|
||||
docker buildx build --platform linux/amd64,linux/arm64,linux/arm/v7 \
|
||||
--cache-from=type=registry,ref=itzcrazykns1337/perplexica:${{ env.RELEASE_VERSION }} \
|
||||
if [[ "${{ matrix.service }}" == "backend" ]]; then \
|
||||
DOCKERFILE=backend.dockerfile; \
|
||||
IMAGE_NAME=perplexica-backend; \
|
||||
else \
|
||||
DOCKERFILE=app.dockerfile; \
|
||||
IMAGE_NAME=perplexica-frontend; \
|
||||
fi
|
||||
docker buildx build --platform linux/amd64,linux/arm64 \
|
||||
--cache-from=type=registry,ref=itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }} \
|
||||
--cache-to=type=inline \
|
||||
-f docker/Dockerfile \
|
||||
-t itzcrazykns1337/perplexica:${{ env.RELEASE_VERSION }} \
|
||||
-f $DOCKERFILE \
|
||||
-t itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }} \
|
||||
--push .
|
||||
|
4
.gitignore
vendored
4
.gitignore
vendored
@ -2,6 +2,7 @@
|
||||
node_modules/
|
||||
npm-debug.log
|
||||
yarn-error.log
|
||||
package-lock.json
|
||||
|
||||
# Build output
|
||||
/.next/
|
||||
@ -37,3 +38,6 @@ Thumbs.db
|
||||
# Db
|
||||
db.sqlite
|
||||
/searxng
|
||||
|
||||
# Dev
|
||||
docker-compose-dev.yaml
|
||||
|
55
README.md
55
README.md
@ -1,21 +1,5 @@
|
||||
# 🚀 Perplexica - An AI-powered search engine 🔎 <!-- omit in toc -->
|
||||
|
||||
<div align="center" markdown="1">
|
||||
<sup>Special thanks to:</sup>
|
||||
<br>
|
||||
<br>
|
||||
<a href="https://www.warp.dev/perplexica">
|
||||
<img alt="Warp sponsorship" width="400" src="https://github.com/user-attachments/assets/775dd593-9b5f-40f1-bf48-479faff4c27b">
|
||||
</a>
|
||||
|
||||
### [Warp, the AI Devtool that lives in your terminal](https://www.warp.dev/perplexica)
|
||||
|
||||
[Available for MacOS, Linux, & Windows](https://www.warp.dev/perplexica)
|
||||
|
||||
</div>
|
||||
|
||||
<hr/>
|
||||
|
||||
[](https://discord.gg/26aArMy8tT)
|
||||
|
||||

|
||||
@ -26,13 +10,12 @@
|
||||
- [Preview](#preview)
|
||||
- [Features](#features)
|
||||
- [Installation](#installation)
|
||||
- [Docker Installation (Recommended)](#docker-installation-recommended)
|
||||
- [Getting Started with Docker (Recommended)](#getting-started-with-docker-recommended)
|
||||
- [Non-Docker Installation](#non-docker-installation)
|
||||
- [Nginx Reverse Proxy](#nginx-reverse-proxy)
|
||||
- [Ollama Connection Errors](#ollama-connection-errors)
|
||||
- [Using as a Search Engine](#using-as-a-search-engine)
|
||||
- [Using Perplexica's API](#using-perplexicas-api)
|
||||
- [Expose Perplexica to a Network](#expose-perplexica-to-a-network)
|
||||
- [Expose Perplexica to a network](#expose-perplexica-to-network)
|
||||
- [One-Click Deployment](#one-click-deployment)
|
||||
- [Upcoming Features](#upcoming-features)
|
||||
- [Support Us](#support-us)
|
||||
@ -72,9 +55,9 @@ It has many more features like image and video search. Some of the planned featu
|
||||
|
||||
## Installation
|
||||
|
||||
Perplexica can be installed using Docker (recommended) or directly on your system.
|
||||
There are mainly 2 ways of installing Perplexica - With Docker, Without Docker. Using Docker is highly recommended.
|
||||
|
||||
### Docker Installation (Recommended)
|
||||
### Getting Started with Docker (Recommended)
|
||||
|
||||
1. Ensure Docker is installed and running on your system.
|
||||
2. Clone the Perplexica repository:
|
||||
@ -102,15 +85,10 @@ Perplexica can be installed using Docker (recommended) or directly on your syste
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
6. Wait a few minutes for the setup to complete. You can access Perplexica at http://localhost:8080 in your web browser.
|
||||
6. Wait a few minutes for the setup to complete. You can access Perplexica at http://localhost:3000 in your web browser.
|
||||
|
||||
**Note**: After the containers are built, you can start Perplexica directly from Docker without having to open a terminal.
|
||||
|
||||
The Docker configuration is located in the `docker/` directory, containing:
|
||||
- Dockerfile with multi-stage build for efficient images
|
||||
- Service configurations for the integrated process manager
|
||||
- Nginx reverse proxy configuration
|
||||
|
||||
### Non-Docker Installation
|
||||
|
||||
1. Install SearXNG and allow `JSON` format in the SearXNG settings.
|
||||
@ -124,17 +102,6 @@ The Docker configuration is located in the `docker/` directory, containing:
|
||||
|
||||
See the [installation documentation](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/installation) for more information like exposing it your network, etc.
|
||||
|
||||
### Nginx Reverse Proxy
|
||||
|
||||
Perplexica includes an Nginx reverse proxy that provides several key benefits:
|
||||
|
||||
- **Single Port Access**: Access both frontend and backend through a single port (8080)
|
||||
- **Dynamic Configuration**: Works with any domain or IP without rebuilding
|
||||
- **WebSocket Support**: Automatic WebSocket URL configuration based on the current domain
|
||||
- **Security Headers**: Enhanced security with proper HTTP headers
|
||||
|
||||
When using Docker, the reverse proxy is automatically configured. Access Perplexica at `http://localhost:8080` or `http://your-ip:8080` after starting the containers.
|
||||
|
||||
### Ollama Connection Errors
|
||||
|
||||
If you're encountering an Ollama connection error, it is likely due to the backend being unable to connect to Ollama's API. To fix this issue you can:
|
||||
@ -160,7 +127,7 @@ If you wish to use Perplexica as an alternative to traditional search engines li
|
||||
|
||||
1. Open your browser's settings.
|
||||
2. Navigate to the 'Search Engines' section.
|
||||
3. Add a new site search with the following URL: `http://localhost:8080/?q=%s`. Replace `localhost` with your IP address or domain name if needed.
|
||||
3. Add a new site search with the following URL: `http://localhost:3000/?q=%s`. Replace `localhost` with your IP address or domain name, and `3000` with the port number if Perplexica is not hosted locally.
|
||||
4. Click the add button. Now, you can use Perplexica directly from your browser's search bar.
|
||||
|
||||
## Using Perplexica's API
|
||||
@ -169,15 +136,9 @@ Perplexica also provides an API for developers looking to integrate its powerful
|
||||
|
||||
For more details, check out the full documentation [here](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/API/SEARCH.md).
|
||||
|
||||
## Expose Perplexica to a Network
|
||||
## Expose Perplexica to network
|
||||
|
||||
Perplexica can be easily accessed over your home network or exposed to the internet through the Nginx reverse proxy. With this setup:
|
||||
|
||||
1. **Local Network Access**: Access Perplexica from any device on your network using `http://server-ip:8080`
|
||||
2. **Domain Configuration**: If you have a domain name, point it to your server and access Perplexica with `http://your-domain.com:8080`
|
||||
3. **SSL Support**: Configure SSL certificates in Nginx for secure `https://` access
|
||||
|
||||
For more network configuration details, see our [networking guide](https://github.com/ItzCrazyKns/Perplexica/blob/master/docs/installation/NETWORKING.md).
|
||||
You can access Perplexica over your home network by following our networking guide [here](https://github.com/ItzCrazyKns/Perplexica/blob/master/docs/installation/NETWORKING.md).
|
||||
|
||||
## One-Click Deployment
|
||||
|
||||
|
15
app.dockerfile
Normal file
15
app.dockerfile
Normal file
@ -0,0 +1,15 @@
|
||||
FROM node:20.18.0-alpine
|
||||
|
||||
ARG NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
|
||||
ARG NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
|
||||
ENV NEXT_PUBLIC_WS_URL=${NEXT_PUBLIC_WS_URL}
|
||||
ENV NEXT_PUBLIC_API_URL=${NEXT_PUBLIC_API_URL}
|
||||
|
||||
WORKDIR /home/perplexica
|
||||
|
||||
COPY ui /home/perplexica/
|
||||
|
||||
RUN yarn install --frozen-lockfile
|
||||
RUN yarn build
|
||||
|
||||
CMD ["yarn", "start"]
|
17
backend.dockerfile
Normal file
17
backend.dockerfile
Normal file
@ -0,0 +1,17 @@
|
||||
FROM node:18-slim
|
||||
|
||||
WORKDIR /home/perplexica
|
||||
|
||||
COPY src /home/perplexica/src
|
||||
COPY tsconfig.json /home/perplexica/
|
||||
COPY drizzle.config.ts /home/perplexica/
|
||||
COPY package.json /home/perplexica/
|
||||
COPY yarn.lock /home/perplexica/
|
||||
|
||||
RUN mkdir /home/perplexica/data
|
||||
RUN mkdir /home/perplexica/uploads
|
||||
|
||||
RUN yarn install --frozen-lockfile --network-timeout 600000
|
||||
RUN yarn build
|
||||
|
||||
CMD ["yarn", "start"]
|
@ -2,43 +2,49 @@ services:
|
||||
searxng:
|
||||
image: docker.io/searxng/searxng:latest
|
||||
volumes:
|
||||
- ./searxng:/etc/searxng
|
||||
- ./searxng:/etc/searxng:rw
|
||||
ports:
|
||||
- '4000:8080'
|
||||
networks:
|
||||
- perplexica-network
|
||||
restart: unless-stopped
|
||||
|
||||
perplexica:
|
||||
image: itzcrazykns1337/perplexica:latest
|
||||
ports:
|
||||
- "8080:8080"
|
||||
perplexica-backend:
|
||||
build:
|
||||
context: .
|
||||
dockerfile: backend.dockerfile
|
||||
image: itzcrazykns1337/perplexica-backend:main
|
||||
environment:
|
||||
- SEARXNG_API_URL=http://searxng:4000
|
||||
- SIMILARITY_MEASURE=cosine
|
||||
- KEEP_ALIVE=5m
|
||||
- OPENAI_API_KEY=${OPENAI_API_KEY:-}
|
||||
- GROQ_API_KEY=${GROQ_API_KEY:-}
|
||||
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
|
||||
- GEMINI_API_KEY=${GEMINI_API_KEY:-}
|
||||
- OLLAMA_API_URL=${OLLAMA_API_URL:-}
|
||||
- CUSTOM_OPENAI_API_KEY=${CUSTOM_OPENAI_API_KEY:-}
|
||||
- CUSTOM_OPENAI_API_URL=${CUSTOM_OPENAI_API_URL:-}
|
||||
- CUSTOM_OPENAI_MODEL_NAME=${CUSTOM_OPENAI_MODEL_NAME:-}
|
||||
volumes:
|
||||
- backend-dbstore:/app/backend/data
|
||||
- uploads:/app/backend/uploads
|
||||
extra_hosts:
|
||||
- 'host.docker.internal:host-gateway'
|
||||
- SEARXNG_API_URL=http://searxng:8080
|
||||
depends_on:
|
||||
- searxng
|
||||
ports:
|
||||
- '3001:3001'
|
||||
volumes:
|
||||
- backend-dbstore:/home/perplexica/data
|
||||
- uploads:/home/perplexica/uploads
|
||||
- ./config.toml:/home/perplexica/config.toml
|
||||
extra_hosts:
|
||||
- 'host.docker.internal:host-gateway'
|
||||
networks:
|
||||
- perplexica-network
|
||||
restart: unless-stopped
|
||||
|
||||
perplexica-frontend:
|
||||
build:
|
||||
context: .
|
||||
dockerfile: app.dockerfile
|
||||
args:
|
||||
- NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
|
||||
- NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
|
||||
image: itzcrazykns1337/perplexica-frontend:main
|
||||
depends_on:
|
||||
- perplexica-backend
|
||||
ports:
|
||||
- '3000:3000'
|
||||
networks:
|
||||
- perplexica-network
|
||||
restart: unless-stopped
|
||||
healthcheck:
|
||||
test: ["CMD", "curl", "-f", "http://localhost:8080/"]
|
||||
interval: 30s
|
||||
timeout: 10s
|
||||
retries: 3
|
||||
start_period: 5s
|
||||
|
||||
networks:
|
||||
perplexica-network:
|
||||
|
@ -1,93 +0,0 @@
|
||||
# Multi-stage build for Perplexica
|
||||
# Stage 1: Build the backend
|
||||
FROM node:lts-alpine as backend-builder
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
COPY src ./src
|
||||
COPY tsconfig.json drizzle.config.ts package.json yarn.lock ./
|
||||
|
||||
RUN yarn install --frozen-lockfile --network-timeout 600000 && \
|
||||
yarn build
|
||||
|
||||
# Stage 2: Build the frontend
|
||||
FROM node:lts-alpine as frontend-builder
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
COPY ui ./
|
||||
ARG NEXT_PUBLIC_API_URL=/api
|
||||
ARG NEXT_PUBLIC_WS_URL=auto
|
||||
ENV NEXT_PUBLIC_API_URL=${NEXT_PUBLIC_API_URL}
|
||||
ENV NEXT_PUBLIC_WS_URL=${NEXT_PUBLIC_WS_URL}
|
||||
|
||||
RUN yarn install --frozen-lockfile && \
|
||||
yarn build
|
||||
|
||||
# Stage 3: Final image
|
||||
FROM node:lts-alpine
|
||||
|
||||
# Install curl and jq for GitHub API access
|
||||
RUN apk add --no-cache curl jq
|
||||
|
||||
# Determine latest S6 overlay version at build time
|
||||
RUN S6_OVERLAY_VERSION=$(curl -s https://api.github.com/repos/just-containers/s6-overlay/releases/latest | jq -r .tag_name | sed 's/^v//') && \
|
||||
echo "Using S6 overlay version: $S6_OVERLAY_VERSION" && \
|
||||
echo "$S6_OVERLAY_VERSION" > /tmp/s6-version
|
||||
|
||||
# Use Docker's TARGETARCH for automatic architecture detection
|
||||
ARG TARGETARCH
|
||||
|
||||
# Install additional required packages and create directory structure in one layer
|
||||
RUN apk add --no-cache \
|
||||
nginx \
|
||||
tzdata \
|
||||
bash && \
|
||||
mkdir -p /app/backend /app/frontend /app/data /app/uploads
|
||||
|
||||
# Map Docker's architecture names to s6-overlay architecture names and download/install
|
||||
RUN S6_OVERLAY_VERSION=$(cat /tmp/s6-version) && \
|
||||
case "${TARGETARCH}" in \
|
||||
"amd64") S6_OVERLAY_ARCH="x86_64" ;; \
|
||||
"arm64") S6_OVERLAY_ARCH="aarch64" ;; \
|
||||
"arm") S6_OVERLAY_ARCH="arm" ;; \
|
||||
*) echo "Unsupported architecture: ${TARGETARCH}. Only amd64, arm64, and arm are supported." && exit 1 ;; \
|
||||
esac && \
|
||||
echo "Target architecture: ${TARGETARCH} -> S6 architecture: ${S6_OVERLAY_ARCH}" && \
|
||||
echo "Downloading s6-overlay v${S6_OVERLAY_VERSION} for architecture: ${S6_OVERLAY_ARCH}" && \
|
||||
curl -L -s -o /tmp/s6-overlay-noarch.tar.xz "https://github.com/just-containers/s6-overlay/releases/download/v${S6_OVERLAY_VERSION}/s6-overlay-noarch.tar.xz" && \
|
||||
tar -C / -Jxpf /tmp/s6-overlay-noarch.tar.xz && \
|
||||
curl -L -s -o /tmp/s6-overlay-arch.tar.xz "https://github.com/just-containers/s6-overlay/releases/download/v${S6_OVERLAY_VERSION}/s6-overlay-${S6_OVERLAY_ARCH}.tar.xz" && \
|
||||
tar -C / -Jxpf /tmp/s6-overlay-arch.tar.xz && \
|
||||
curl -L -s -o /tmp/s6-overlay-symlinks-noarch.tar.xz "https://github.com/just-containers/s6-overlay/releases/download/v${S6_OVERLAY_VERSION}/s6-overlay-symlinks-noarch.tar.xz" && \
|
||||
tar -C / -Jxpf /tmp/s6-overlay-symlinks-noarch.tar.xz && \
|
||||
rm -f /tmp/s6-overlay-*.tar.xz /tmp/s6-version
|
||||
|
||||
# Copy configuration files
|
||||
COPY docker/etc/s6-overlay/services /etc/services.d/
|
||||
COPY docker/etc/nginx/nginx.conf /etc/nginx/nginx.conf
|
||||
|
||||
# Make service scripts executable
|
||||
RUN chmod +x /etc/services.d/*/run /etc/services.d/*/finish
|
||||
|
||||
# Copy application files from builders
|
||||
COPY --from=backend-builder /app/dist /app/backend/dist
|
||||
COPY --from=backend-builder /app/node_modules /app/backend/node_modules
|
||||
COPY --from=backend-builder /app/package.json /app/backend/package.json
|
||||
COPY --from=backend-builder /app/drizzle.config.ts /app/backend/drizzle.config.ts
|
||||
# Copy only the schema file for Drizzle migrations
|
||||
COPY --from=backend-builder /app/src/db/schema.ts /app/backend/src/db/schema.ts
|
||||
COPY --from=frontend-builder /app/.next /app/frontend/.next
|
||||
COPY --from=frontend-builder /app/node_modules /app/frontend/node_modules
|
||||
COPY --from=frontend-builder /app/package.json /app/frontend/package.json
|
||||
COPY --from=frontend-builder /app/public /app/frontend/public
|
||||
|
||||
# Configure volumes and ports
|
||||
VOLUME ["/app/backend/data", "/app/backend/uploads"]
|
||||
EXPOSE 8080
|
||||
|
||||
# Set up healthcheck
|
||||
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
|
||||
CMD curl -f http://localhost:8080/ || exit 1
|
||||
|
||||
ENTRYPOINT ["/init"]
|
@ -1,55 +0,0 @@
|
||||
events {
|
||||
worker_connections 1024;
|
||||
}
|
||||
|
||||
http {
|
||||
port_in_redirect on;
|
||||
absolute_redirect off;
|
||||
|
||||
server {
|
||||
listen 8080;
|
||||
server_name localhost;
|
||||
|
||||
# Global timeout settings for all locations
|
||||
proxy_read_timeout 86400s; # 24 hours
|
||||
proxy_send_timeout 86400s; # 24 hours
|
||||
proxy_connect_timeout 60s; # Connection establishment timeout
|
||||
|
||||
# API requests
|
||||
location /api {
|
||||
proxy_pass http://localhost:3001;
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header X-Real-IP $remote_addr;
|
||||
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
|
||||
proxy_set_header X-Forwarded-Proto $scheme;
|
||||
}
|
||||
|
||||
# WebSocket requests
|
||||
location /ws {
|
||||
proxy_pass http://localhost:3001;
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Upgrade $http_upgrade;
|
||||
proxy_set_header Connection "upgrade";
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header X-Real-IP $remote_addr;
|
||||
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
|
||||
proxy_set_header X-Forwarded-Proto $scheme;
|
||||
}
|
||||
|
||||
# Frontend requests
|
||||
location / {
|
||||
proxy_pass http://localhost:3000;
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header X-Real-IP $remote_addr;
|
||||
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
|
||||
proxy_set_header X-Forwarded-Proto $scheme;
|
||||
}
|
||||
|
||||
# Security headers
|
||||
add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
|
||||
add_header X-XSS-Protection "1; mode=block" always;
|
||||
add_header X-Content-Type-Options "nosniff" always;
|
||||
add_header X-Frame-Options "SAMEORIGIN" always;
|
||||
server_tokens off;
|
||||
}
|
||||
}
|
@ -1,3 +0,0 @@
|
||||
#!/usr/bin/with-contenv bash
|
||||
s6-svc -d /var/run/s6/services/frontend
|
||||
s6-svc -d /var/run/s6/services/nginx
|
@ -1,8 +0,0 @@
|
||||
#!/usr/bin/with-contenv bash
|
||||
cd /app/backend
|
||||
|
||||
# Run database migrations before starting the app
|
||||
yarn db:push
|
||||
|
||||
# Start the application
|
||||
exec node dist/app.js
|
@ -1,2 +0,0 @@
|
||||
#!/usr/bin/with-contenv bash
|
||||
s6-svc -d /var/run/s6/services/nginx
|
@ -1,3 +0,0 @@
|
||||
#!/usr/bin/with-contenv bash
|
||||
cd /app/frontend
|
||||
exec node_modules/.bin/next start
|
@ -1,2 +0,0 @@
|
||||
#!/usr/bin/with-contenv bash
|
||||
exec nginx -g "daemon off;"
|
@ -1,46 +1,109 @@
|
||||
# Accessing Perplexica over a Network
|
||||
# Expose Perplexica to a network
|
||||
|
||||
This guide explains how to access Perplexica over your network using the nginx reverse proxy included in the Docker setup.
|
||||
This guide will show you how to make Perplexica available over a network. Follow these steps to allow computers on the same network to interact with Perplexica. Choose the instructions that match the operating system you are using.
|
||||
|
||||
## Basic Network Access
|
||||
## Windows
|
||||
|
||||
Perplexica is automatically accessible from any device on your network:
|
||||
1. Open PowerShell as Administrator
|
||||
|
||||
2. Navigate to the directory containing the `docker-compose.yaml` file
|
||||
|
||||
3. Stop and remove the existing Perplexica containers and images:
|
||||
|
||||
1. Start Perplexica using Docker Compose:
|
||||
```bash
|
||||
docker compose up -d
|
||||
docker compose down --rmi all
|
||||
```
|
||||
|
||||
2. Find your server's IP address:
|
||||
- **Windows**: `ipconfig` in Command Prompt
|
||||
- **macOS**: `ifconfig | grep "inet "` in Terminal
|
||||
- **Linux**: `ip addr show | grep "inet "` in Terminal
|
||||
4. Open the `docker-compose.yaml` file in a text editor like Notepad++
|
||||
|
||||
3. Access Perplexica from any device on your network:
|
||||
```
|
||||
http://YOUR_SERVER_IP:8080
|
||||
```
|
||||
5. Replace `127.0.0.1` with the IP address of the server Perplexica is running on in these two lines:
|
||||
|
||||
## Custom Port Configuration
|
||||
|
||||
If you need to use a different port instead of the default 8080:
|
||||
|
||||
1. Modify the `docker-compose.yaml` file:
|
||||
```yaml
|
||||
perplexica:
|
||||
ports:
|
||||
- "YOUR_CUSTOM_PORT:8080"
|
||||
```
|
||||
|
||||
2. Restart the containers:
|
||||
```bash
|
||||
docker compose down && docker compose up -d
|
||||
args:
|
||||
- NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
|
||||
- NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
6. Save and close the `docker-compose.yaml` file
|
||||
|
||||
If you encounter issues accessing Perplexica over your network:
|
||||
7. Rebuild and restart the Perplexica container:
|
||||
|
||||
1. **Firewall Settings**: Ensure port 8080 (or your custom port) is allowed in your firewall
|
||||
2. **Docker Logs**: Check for any connection issues with `docker logs perplexica`
|
||||
3. **Network Access**: Make sure your devices are on the same network and can reach the server
|
||||
```bash
|
||||
docker compose up -d --build
|
||||
```
|
||||
|
||||
## macOS
|
||||
|
||||
1. Open the Terminal application
|
||||
|
||||
2. Navigate to the directory with the `docker-compose.yaml` file:
|
||||
|
||||
```bash
|
||||
cd /path/to/docker-compose.yaml
|
||||
```
|
||||
|
||||
3. Stop and remove existing containers and images:
|
||||
|
||||
```bash
|
||||
docker compose down --rmi all
|
||||
```
|
||||
|
||||
4. Open `docker-compose.yaml` in a text editor like Sublime Text:
|
||||
|
||||
```bash
|
||||
nano docker-compose.yaml
|
||||
```
|
||||
|
||||
5. Replace `127.0.0.1` with the server IP in these lines:
|
||||
|
||||
```bash
|
||||
args:
|
||||
- NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
|
||||
- NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
|
||||
```
|
||||
|
||||
6. Save and exit the editor
|
||||
|
||||
7. Rebuild and restart Perplexica:
|
||||
|
||||
```bash
|
||||
docker compose up -d --build
|
||||
```
|
||||
|
||||
## Linux
|
||||
|
||||
1. Open the terminal
|
||||
|
||||
2. Navigate to the `docker-compose.yaml` directory:
|
||||
|
||||
```bash
|
||||
cd /path/to/docker-compose.yaml
|
||||
```
|
||||
|
||||
3. Stop and remove containers and images:
|
||||
|
||||
```bash
|
||||
docker compose down --rmi all
|
||||
```
|
||||
|
||||
4. Edit `docker-compose.yaml`:
|
||||
|
||||
```bash
|
||||
nano docker-compose.yaml
|
||||
```
|
||||
|
||||
5. Replace `127.0.0.1` with the server IP:
|
||||
|
||||
```bash
|
||||
args:
|
||||
- NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
|
||||
- NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
|
||||
```
|
||||
|
||||
6. Save and exit the editor
|
||||
|
||||
7. Rebuild and restart Perplexica:
|
||||
|
||||
```bash
|
||||
docker compose up -d --build
|
||||
```
|
||||
|
@ -30,8 +30,8 @@
|
||||
"@iarna/toml": "^2.2.5",
|
||||
"@langchain/anthropic": "^0.2.3",
|
||||
"@langchain/community": "^0.2.16",
|
||||
"@langchain/openai": "^0.0.25",
|
||||
"@langchain/google-genai": "^0.0.23",
|
||||
"@langchain/openai": "^0.0.25",
|
||||
"@xenova/transformers": "^2.17.1",
|
||||
"axios": "^1.6.8",
|
||||
"better-sqlite3": "^11.0.0",
|
||||
|
@ -3,6 +3,12 @@ PORT = 3001 # Port to run the server on
|
||||
SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
|
||||
KEEP_ALIVE = "5m" # How long to keep Ollama models loaded into memory. (Instead of using -1 use "-1m")
|
||||
|
||||
[SEARCH_ENGINE_BACKENDS] # "google" | "searxng" | "bing" | "brave" | "yacy"
|
||||
SEARCH = "searxng"
|
||||
IMAGE = "searxng"
|
||||
VIDEO = "searxng"
|
||||
NEWS = "searxng"
|
||||
|
||||
[MODELS.OPENAI]
|
||||
API_KEY = ""
|
||||
|
||||
@ -22,5 +28,18 @@ API_URL = ""
|
||||
[MODELS.OLLAMA]
|
||||
API_URL = "" # Ollama API URL - http://host.docker.internal:11434
|
||||
|
||||
[API_ENDPOINTS]
|
||||
SEARXNG = "http://localhost:32768" # SearxNG API URL
|
||||
[SEARCH_ENGINES.GOOGLE]
|
||||
API_KEY = ""
|
||||
CSE_ID = ""
|
||||
|
||||
[SEARCH_ENGINES.SEARXNG]
|
||||
ENDPOINT = ""
|
||||
|
||||
[SEARCH_ENGINES.BING]
|
||||
SUBSCRIPTION_KEY = ""
|
||||
|
||||
[SEARCH_ENGINES.BRAVE]
|
||||
API_KEY = ""
|
||||
|
||||
[SEARCH_ENGINES.YACY]
|
||||
ENDPOINT = ""
|
||||
|
@ -15,3 +15,5 @@ server:
|
||||
engines:
|
||||
- name: wolframalpha
|
||||
disabled: false
|
||||
- name: qwant
|
||||
disabled: true
|
||||
|
@ -7,7 +7,12 @@ import { PromptTemplate } from '@langchain/core/prompts';
|
||||
import formatChatHistoryAsString from '../utils/formatHistory';
|
||||
import { BaseMessage } from '@langchain/core/messages';
|
||||
import { StringOutputParser } from '@langchain/core/output_parsers';
|
||||
import { searchSearxng } from '../lib/searxng';
|
||||
import { searchSearxng } from '../lib/searchEngines/searxng';
|
||||
import { searchGooglePSE } from '../lib/searchEngines/google_pse';
|
||||
import { searchBraveAPI } from '../lib/searchEngines/brave';
|
||||
import { searchYaCy } from '../lib/searchEngines/yacy';
|
||||
import { searchBingAPI } from '../lib/searchEngines/bing';
|
||||
import { getImageSearchEngineBackend } from '../config';
|
||||
import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
|
||||
|
||||
const imageSearchChainPrompt = `
|
||||
@ -36,6 +41,103 @@ type ImageSearchChainInput = {
|
||||
query: string;
|
||||
};
|
||||
|
||||
async function performImageSearch(query: string) {
|
||||
const searchEngine = getImageSearchEngineBackend();
|
||||
let images = [];
|
||||
|
||||
switch (searchEngine) {
|
||||
case 'google': {
|
||||
const googleResult = await searchGooglePSE(query);
|
||||
images = googleResult.results
|
||||
.map((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
return {
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
source: result.displayLink,
|
||||
};
|
||||
}
|
||||
})
|
||||
.filter(Boolean);
|
||||
break;
|
||||
}
|
||||
|
||||
case 'searxng': {
|
||||
const searxResult = await searchSearxng(query, {
|
||||
engines: ['google images', 'bing images'],
|
||||
pageno: 1,
|
||||
});
|
||||
searxResult.results.forEach((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
images.push({
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
});
|
||||
}
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'brave': {
|
||||
const braveResult = await searchBraveAPI(query);
|
||||
images = braveResult.results
|
||||
.map((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
return {
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
source: result.url,
|
||||
};
|
||||
}
|
||||
})
|
||||
.filter(Boolean);
|
||||
break;
|
||||
}
|
||||
|
||||
case 'yacy': {
|
||||
const yacyResult = await searchYaCy(query);
|
||||
images = yacyResult.results
|
||||
.map((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
return {
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
source: result.url,
|
||||
};
|
||||
}
|
||||
})
|
||||
.filter(Boolean);
|
||||
break;
|
||||
}
|
||||
|
||||
case 'bing': {
|
||||
const bingResult = await searchBingAPI(query);
|
||||
images = bingResult.results
|
||||
.map((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
return {
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
source: result.url,
|
||||
};
|
||||
}
|
||||
})
|
||||
.filter(Boolean);
|
||||
break;
|
||||
}
|
||||
|
||||
default:
|
||||
throw new Error(`Unknown search engine ${searchEngine}`);
|
||||
}
|
||||
|
||||
return images;
|
||||
}
|
||||
|
||||
const strParser = new StringOutputParser();
|
||||
|
||||
const createImageSearchChain = (llm: BaseChatModel) => {
|
||||
@ -52,22 +154,7 @@ const createImageSearchChain = (llm: BaseChatModel) => {
|
||||
llm,
|
||||
strParser,
|
||||
RunnableLambda.from(async (input: string) => {
|
||||
const res = await searchSearxng(input, {
|
||||
engines: ['bing images', 'google images'],
|
||||
});
|
||||
|
||||
const images = [];
|
||||
|
||||
res.results.forEach((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
images.push({
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
const images = await performImageSearch(input);
|
||||
return images.slice(0, 10);
|
||||
}),
|
||||
]);
|
||||
|
@ -8,7 +8,7 @@ import { ChatOpenAI } from '@langchain/openai';
|
||||
|
||||
const suggestionGeneratorPrompt = `
|
||||
You are an AI suggestion generator for an AI powered search engine. You will be given a conversation below. You need to generate 4-5 suggestions based on the conversation. The suggestion should be relevant to the conversation that can be used by the user to ask the chat model for more information.
|
||||
You need to make sure the suggestions are relevant to the conversation and are helpful to the user. Keep a note that the user might use these suggestions to ask a chat model for more information.
|
||||
You need to make sure the suggestions are relevant to the conversation and are helpful to the user. Keep a note that the user might use these suggestions to ask a chat model for more information.
|
||||
Make sure the suggestions are medium in length and are informative and relevant to the conversation.
|
||||
|
||||
Provide these suggestions separated by newlines between the XML tags <suggestions> and </suggestions>. For example:
|
||||
|
@ -7,7 +7,11 @@ import { PromptTemplate } from '@langchain/core/prompts';
|
||||
import formatChatHistoryAsString from '../utils/formatHistory';
|
||||
import { BaseMessage } from '@langchain/core/messages';
|
||||
import { StringOutputParser } from '@langchain/core/output_parsers';
|
||||
import { searchSearxng } from '../lib/searxng';
|
||||
import { searchSearxng } from '../lib/searchEngines/searxng';
|
||||
import { searchGooglePSE } from '../lib/searchEngines/google_pse';
|
||||
import { searchBraveAPI } from '../lib/searchEngines/brave';
|
||||
import { searchBingAPI } from '../lib/searchEngines/bing';
|
||||
import { getVideoSearchEngineBackend } from '../config';
|
||||
import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
|
||||
|
||||
const VideoSearchChainPrompt = `
|
||||
@ -38,27 +42,36 @@ type VideoSearchChainInput = {
|
||||
|
||||
const strParser = new StringOutputParser();
|
||||
|
||||
const createVideoSearchChain = (llm: BaseChatModel) => {
|
||||
return RunnableSequence.from([
|
||||
RunnableMap.from({
|
||||
chat_history: (input: VideoSearchChainInput) => {
|
||||
return formatChatHistoryAsString(input.chat_history);
|
||||
},
|
||||
query: (input: VideoSearchChainInput) => {
|
||||
return input.query;
|
||||
},
|
||||
}),
|
||||
PromptTemplate.fromTemplate(VideoSearchChainPrompt),
|
||||
llm,
|
||||
strParser,
|
||||
RunnableLambda.from(async (input: string) => {
|
||||
const res = await searchSearxng(input, {
|
||||
async function performVideoSearch(query: string) {
|
||||
const searchEngine = getVideoSearchEngineBackend();
|
||||
const youtubeQuery = `${query} site:youtube.com`;
|
||||
let videos = [];
|
||||
|
||||
switch (searchEngine) {
|
||||
case 'google': {
|
||||
const googleResult = await searchGooglePSE(youtubeQuery);
|
||||
googleResult.results.forEach((result) => {
|
||||
// Use .results instead of .originalres
|
||||
if (result.img_src && result.url && result.title) {
|
||||
const videoId = new URL(result.url).searchParams.get('v');
|
||||
videos.push({
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
iframe_src: videoId
|
||||
? `https://www.youtube.com/embed/${videoId}`
|
||||
: null,
|
||||
});
|
||||
}
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'searxng': {
|
||||
const searxResult = await searchSearxng(query, {
|
||||
engines: ['youtube'],
|
||||
});
|
||||
|
||||
const videos = [];
|
||||
|
||||
res.results.forEach((result) => {
|
||||
searxResult.results.forEach((result) => {
|
||||
if (
|
||||
result.thumbnail &&
|
||||
result.url &&
|
||||
@ -73,7 +86,73 @@ const createVideoSearchChain = (llm: BaseChatModel) => {
|
||||
});
|
||||
}
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'brave': {
|
||||
const braveResult = await searchBraveAPI(youtubeQuery);
|
||||
braveResult.results.forEach((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
const videoId = new URL(result.url).searchParams.get('v');
|
||||
videos.push({
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
iframe_src: videoId
|
||||
? `https://www.youtube.com/embed/${videoId}`
|
||||
: null,
|
||||
});
|
||||
}
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'yacy': {
|
||||
console.log('Not available for yacy');
|
||||
videos = [];
|
||||
break;
|
||||
}
|
||||
|
||||
case 'bing': {
|
||||
const bingResult = await searchBingAPI(youtubeQuery);
|
||||
bingResult.results.forEach((result) => {
|
||||
if (result.img_src && result.url && result.title) {
|
||||
const videoId = new URL(result.url).searchParams.get('v');
|
||||
videos.push({
|
||||
img_src: result.img_src,
|
||||
url: result.url,
|
||||
title: result.title,
|
||||
iframe_src: videoId
|
||||
? `https://www.youtube.com/embed/${videoId}`
|
||||
: null,
|
||||
});
|
||||
}
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
default:
|
||||
throw new Error(`Unknown search engine ${searchEngine}`);
|
||||
}
|
||||
|
||||
return videos;
|
||||
}
|
||||
|
||||
const createVideoSearchChain = (llm: BaseChatModel) => {
|
||||
return RunnableSequence.from([
|
||||
RunnableMap.from({
|
||||
chat_history: (input: VideoSearchChainInput) => {
|
||||
return formatChatHistoryAsString(input.chat_history);
|
||||
},
|
||||
query: (input: VideoSearchChainInput) => {
|
||||
return input.query;
|
||||
},
|
||||
}),
|
||||
PromptTemplate.fromTemplate(VideoSearchChainPrompt),
|
||||
llm,
|
||||
strParser,
|
||||
RunnableLambda.from(async (input: string) => {
|
||||
const videos = await performVideoSearch(input);
|
||||
return videos.slice(0, 10);
|
||||
}),
|
||||
]);
|
||||
|
125
src/config.ts
125
src/config.ts
@ -10,6 +10,12 @@ interface Config {
|
||||
SIMILARITY_MEASURE: string;
|
||||
KEEP_ALIVE: string;
|
||||
};
|
||||
SEARCH_ENGINE_BACKENDS: {
|
||||
SEARCH: string;
|
||||
IMAGE: string;
|
||||
VIDEO: string;
|
||||
NEWS: string;
|
||||
};
|
||||
MODELS: {
|
||||
OPENAI: {
|
||||
API_KEY: string;
|
||||
@ -32,8 +38,23 @@ interface Config {
|
||||
MODEL_NAME: string;
|
||||
};
|
||||
};
|
||||
API_ENDPOINTS: {
|
||||
SEARXNG: string;
|
||||
SEARCH_ENGINES: {
|
||||
GOOGLE: {
|
||||
API_KEY: string;
|
||||
CSE_ID: string;
|
||||
};
|
||||
SEARXNG: {
|
||||
ENDPOINT: string;
|
||||
};
|
||||
BING: {
|
||||
SUBSCRIPTION_KEY: string;
|
||||
};
|
||||
BRAVE: {
|
||||
API_KEY: string;
|
||||
};
|
||||
YACY: {
|
||||
ENDPOINT: string;
|
||||
};
|
||||
};
|
||||
}
|
||||
|
||||
@ -41,83 +62,63 @@ type RecursivePartial<T> = {
|
||||
[P in keyof T]?: RecursivePartial<T[P]>;
|
||||
};
|
||||
|
||||
const loadConfig = () => {
|
||||
try {
|
||||
return toml.parse(
|
||||
fs.readFileSync(path.join(__dirname, `../${configFileName}`), 'utf-8'),
|
||||
) as any as Config;
|
||||
} catch (error) {
|
||||
// Return default config if file doesn't exist
|
||||
return {
|
||||
GENERAL: {
|
||||
PORT: 3001,
|
||||
SIMILARITY_MEASURE: 'cosine',
|
||||
KEEP_ALIVE: '5m',
|
||||
},
|
||||
MODELS: {
|
||||
OPENAI: {
|
||||
API_KEY: '',
|
||||
},
|
||||
GROQ: {
|
||||
API_KEY: '',
|
||||
},
|
||||
ANTHROPIC: {
|
||||
API_KEY: '',
|
||||
},
|
||||
GEMINI: {
|
||||
API_KEY: '',
|
||||
},
|
||||
OLLAMA: {
|
||||
API_URL: '',
|
||||
},
|
||||
CUSTOM_OPENAI: {
|
||||
API_URL: '',
|
||||
API_KEY: '',
|
||||
MODEL_NAME: '',
|
||||
},
|
||||
},
|
||||
API_ENDPOINTS: {
|
||||
SEARXNG: '',
|
||||
},
|
||||
};
|
||||
}
|
||||
};
|
||||
const loadConfig = () =>
|
||||
toml.parse(
|
||||
fs.readFileSync(path.join(__dirname, `../${configFileName}`), 'utf-8'),
|
||||
) as any as Config;
|
||||
|
||||
export const getPort = () =>
|
||||
process.env.PORT ? parseInt(process.env.PORT, 10) : loadConfig().GENERAL.PORT;
|
||||
export const getPort = () => loadConfig().GENERAL.PORT;
|
||||
|
||||
export const getSimilarityMeasure = () =>
|
||||
process.env.SIMILARITY_MEASURE || loadConfig().GENERAL.SIMILARITY_MEASURE;
|
||||
loadConfig().GENERAL.SIMILARITY_MEASURE;
|
||||
|
||||
export const getKeepAlive = () =>
|
||||
process.env.KEEP_ALIVE || loadConfig().GENERAL.KEEP_ALIVE;
|
||||
export const getKeepAlive = () => loadConfig().GENERAL.KEEP_ALIVE;
|
||||
|
||||
export const getOpenaiApiKey = () =>
|
||||
process.env.OPENAI_API_KEY || loadConfig().MODELS.OPENAI.API_KEY;
|
||||
export const getOpenaiApiKey = () => loadConfig().MODELS.OPENAI.API_KEY;
|
||||
|
||||
export const getGroqApiKey = () =>
|
||||
process.env.GROQ_API_KEY || loadConfig().MODELS.GROQ.API_KEY;
|
||||
export const getGroqApiKey = () => loadConfig().MODELS.GROQ.API_KEY;
|
||||
|
||||
export const getAnthropicApiKey = () =>
|
||||
process.env.ANTHROPIC_API_KEY || loadConfig().MODELS.ANTHROPIC.API_KEY;
|
||||
export const getAnthropicApiKey = () => loadConfig().MODELS.ANTHROPIC.API_KEY;
|
||||
|
||||
export const getGeminiApiKey = () =>
|
||||
process.env.GEMINI_API_KEY || loadConfig().MODELS.GEMINI.API_KEY;
|
||||
export const getGeminiApiKey = () => loadConfig().MODELS.GEMINI.API_KEY;
|
||||
|
||||
export const getSearchEngineBackend = () =>
|
||||
loadConfig().SEARCH_ENGINE_BACKENDS.SEARCH;
|
||||
|
||||
export const getImageSearchEngineBackend = () =>
|
||||
loadConfig().SEARCH_ENGINE_BACKENDS.IMAGE || getSearchEngineBackend();
|
||||
|
||||
export const getVideoSearchEngineBackend = () =>
|
||||
loadConfig().SEARCH_ENGINE_BACKENDS.VIDEO || getSearchEngineBackend();
|
||||
|
||||
export const getNewsSearchEngineBackend = () =>
|
||||
loadConfig().SEARCH_ENGINE_BACKENDS.NEWS || getSearchEngineBackend();
|
||||
|
||||
export const getGoogleApiKey = () => loadConfig().SEARCH_ENGINES.GOOGLE.API_KEY;
|
||||
|
||||
export const getGoogleCseId = () => loadConfig().SEARCH_ENGINES.GOOGLE.CSE_ID;
|
||||
|
||||
export const getBraveApiKey = () => loadConfig().SEARCH_ENGINES.BRAVE.API_KEY;
|
||||
|
||||
export const getBingSubscriptionKey = () =>
|
||||
loadConfig().SEARCH_ENGINES.BING.SUBSCRIPTION_KEY;
|
||||
|
||||
export const getYacyJsonEndpoint = () =>
|
||||
loadConfig().SEARCH_ENGINES.YACY.ENDPOINT;
|
||||
|
||||
export const getSearxngApiEndpoint = () =>
|
||||
process.env.SEARXNG_API_URL || loadConfig().API_ENDPOINTS.SEARXNG;
|
||||
process.env.SEARXNG_API_URL || loadConfig().SEARCH_ENGINES.SEARXNG.ENDPOINT;
|
||||
|
||||
export const getOllamaApiEndpoint = () =>
|
||||
process.env.OLLAMA_API_URL || loadConfig().MODELS.OLLAMA.API_URL;
|
||||
export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
|
||||
|
||||
export const getCustomOpenaiApiKey = () =>
|
||||
process.env.CUSTOM_OPENAI_API_KEY || loadConfig().MODELS.CUSTOM_OPENAI.API_KEY;
|
||||
loadConfig().MODELS.CUSTOM_OPENAI.API_KEY;
|
||||
|
||||
export const getCustomOpenaiApiUrl = () =>
|
||||
process.env.CUSTOM_OPENAI_API_URL || loadConfig().MODELS.CUSTOM_OPENAI.API_URL;
|
||||
loadConfig().MODELS.CUSTOM_OPENAI.API_URL;
|
||||
|
||||
export const getCustomOpenaiModelName = () =>
|
||||
process.env.CUSTOM_OPENAI_MODEL_NAME || loadConfig().MODELS.CUSTOM_OPENAI.MODEL_NAME;
|
||||
loadConfig().MODELS.CUSTOM_OPENAI.MODEL_NAME;
|
||||
|
||||
const mergeConfigs = (current: any, update: any): any => {
|
||||
if (update === null || update === undefined) {
|
||||
|
105
src/lib/searchEngines/bing.ts
Normal file
105
src/lib/searchEngines/bing.ts
Normal file
@ -0,0 +1,105 @@
|
||||
import axios from 'axios';
|
||||
import { getBingSubscriptionKey } from '../../config';
|
||||
|
||||
interface BingAPISearchResult {
|
||||
_type: string;
|
||||
name: string;
|
||||
url: string;
|
||||
displayUrl: string;
|
||||
snippet?: string;
|
||||
dateLastCrawled?: string;
|
||||
thumbnailUrl?: string;
|
||||
contentUrl?: string;
|
||||
hostPageUrl?: string;
|
||||
width?: number;
|
||||
height?: number;
|
||||
accentColor?: string;
|
||||
contentSize?: string;
|
||||
datePublished?: string;
|
||||
encodingFormat?: string;
|
||||
hostPageDisplayUrl?: string;
|
||||
id?: string;
|
||||
isLicensed?: boolean;
|
||||
isFamilyFriendly?: boolean;
|
||||
language?: string;
|
||||
mediaUrl?: string;
|
||||
motionThumbnailUrl?: string;
|
||||
publisher?: string;
|
||||
viewCount?: number;
|
||||
webSearchUrl?: string;
|
||||
primaryImageOfPage?: {
|
||||
thumbnailUrl?: string;
|
||||
width?: number;
|
||||
height?: number;
|
||||
};
|
||||
video?: {
|
||||
allowHttpsEmbed?: boolean;
|
||||
embedHtml?: string;
|
||||
allowMobileEmbed?: boolean;
|
||||
viewCount?: number;
|
||||
duration?: string;
|
||||
};
|
||||
image?: {
|
||||
thumbnail?: {
|
||||
contentUrl?: string;
|
||||
width?: number;
|
||||
height?: number;
|
||||
};
|
||||
imageInsightsToken?: string;
|
||||
imageId?: string;
|
||||
};
|
||||
}
|
||||
|
||||
export const searchBingAPI = async (query: string) => {
|
||||
try {
|
||||
const bingApiKey = await getBingSubscriptionKey();
|
||||
const url = new URL(`https://api.cognitive.microsoft.com/bing/v7.0/search`);
|
||||
url.searchParams.append('q', query);
|
||||
url.searchParams.append('responseFilter', 'Webpages,Images,Videos');
|
||||
|
||||
const res = await axios.get(url.toString(), {
|
||||
headers: {
|
||||
'Ocp-Apim-Subscription-Key': bingApiKey,
|
||||
Accept: 'application/json',
|
||||
},
|
||||
});
|
||||
|
||||
if (res.data.error) {
|
||||
throw new Error(`Bing API Error: ${res.data.error.message}`);
|
||||
}
|
||||
|
||||
const originalres = res.data;
|
||||
|
||||
// Extract web, image, and video results
|
||||
const webResults = originalres.webPages?.value || [];
|
||||
const imageResults = originalres.images?.value || [];
|
||||
const videoResults = originalres.videos?.value || [];
|
||||
|
||||
const results = webResults.map((item: BingAPISearchResult) => ({
|
||||
title: item.name,
|
||||
url: item.url,
|
||||
content: item.snippet,
|
||||
img_src:
|
||||
item.primaryImageOfPage?.thumbnailUrl ||
|
||||
imageResults.find((img: any) => img.hostPageUrl === item.url)
|
||||
?.thumbnailUrl ||
|
||||
videoResults.find((vid: any) => vid.hostPageUrl === item.url)
|
||||
?.thumbnailUrl,
|
||||
...(item.video && {
|
||||
videoData: {
|
||||
duration: item.video.duration,
|
||||
embedUrl: item.video.embedHtml?.match(/src="(.*?)"/)?.[1],
|
||||
},
|
||||
publisher: item.publisher,
|
||||
datePublished: item.datePublished,
|
||||
}),
|
||||
}));
|
||||
|
||||
return { results, originalres };
|
||||
} catch (error) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message || 'Unknown error';
|
||||
throw new Error(`Bing API Error: ${errorMessage}`);
|
||||
}
|
||||
};
|
102
src/lib/searchEngines/brave.ts
Normal file
102
src/lib/searchEngines/brave.ts
Normal file
@ -0,0 +1,102 @@
|
||||
import axios from 'axios';
|
||||
import { getBraveApiKey } from '../../config';
|
||||
|
||||
interface BraveSearchResult {
|
||||
title: string;
|
||||
url: string;
|
||||
content?: string;
|
||||
img_src?: string;
|
||||
age?: string;
|
||||
family_friendly?: boolean;
|
||||
language?: string;
|
||||
video?: {
|
||||
embedUrl?: string;
|
||||
duration?: string;
|
||||
};
|
||||
rating?: {
|
||||
value: number;
|
||||
scale: number;
|
||||
};
|
||||
products?: Array<{
|
||||
name: string;
|
||||
price?: string;
|
||||
}>;
|
||||
recipe?: {
|
||||
ingredients?: string[];
|
||||
cookTime?: string;
|
||||
};
|
||||
meta?: {
|
||||
fetched?: string;
|
||||
lastCrawled?: string;
|
||||
};
|
||||
}
|
||||
|
||||
export const searchBraveAPI = async (
|
||||
query: string,
|
||||
numResults: number = 20,
|
||||
): Promise<{ results: BraveSearchResult[]; originalres: any }> => {
|
||||
try {
|
||||
const braveApiKey = await getBraveApiKey();
|
||||
const url = new URL(`https://api.search.brave.com/res/v1/web/search`);
|
||||
|
||||
url.searchParams.append('q', query);
|
||||
url.searchParams.append('count', numResults.toString());
|
||||
|
||||
const res = await axios.get(url.toString(), {
|
||||
headers: {
|
||||
'X-Subscription-Token': braveApiKey,
|
||||
Accept: 'application/json',
|
||||
},
|
||||
});
|
||||
|
||||
if (res.data.error) {
|
||||
throw new Error(`Brave API Error: ${res.data.error.message}`);
|
||||
}
|
||||
|
||||
const originalres = res.data;
|
||||
const webResults = originalres.web?.results || [];
|
||||
|
||||
const results: BraveSearchResult[] = webResults.map((item: any) => ({
|
||||
title: item.title,
|
||||
url: item.url,
|
||||
content: item.description,
|
||||
img_src: item.thumbnail?.src || item.deep_results?.images?.[0]?.src,
|
||||
age: item.age,
|
||||
family_friendly: item.family_friendly,
|
||||
language: item.language,
|
||||
video: item.video
|
||||
? {
|
||||
embedUrl: item.video.embed_url,
|
||||
duration: item.video.duration,
|
||||
}
|
||||
: undefined,
|
||||
rating: item.rating
|
||||
? {
|
||||
value: item.rating.value,
|
||||
scale: item.rating.scale_max,
|
||||
}
|
||||
: undefined,
|
||||
products: item.deep_results?.product_cluster?.map((p: any) => ({
|
||||
name: p.name,
|
||||
price: p.price,
|
||||
})),
|
||||
recipe: item.recipe
|
||||
? {
|
||||
ingredients: item.recipe.ingredients,
|
||||
cookTime: item.recipe.cook_time,
|
||||
}
|
||||
: undefined,
|
||||
meta: {
|
||||
fetched: item.meta?.fetched,
|
||||
lastCrawled: item.meta?.last_crawled,
|
||||
},
|
||||
}));
|
||||
|
||||
return { results, originalres };
|
||||
} catch (error) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message || 'Unknown error';
|
||||
throw new Error(`Brave API Error: ${errorMessage}`);
|
||||
}
|
||||
};
|
85
src/lib/searchEngines/google_pse.ts
Normal file
85
src/lib/searchEngines/google_pse.ts
Normal file
@ -0,0 +1,85 @@
|
||||
import axios from 'axios';
|
||||
import { getGoogleApiKey, getGoogleCseId } from '../../config';
|
||||
|
||||
interface GooglePSESearchResult {
|
||||
kind: string;
|
||||
title: string;
|
||||
htmlTitle: string;
|
||||
link: string;
|
||||
displayLink: string;
|
||||
snippet?: string;
|
||||
htmlSnippet?: string;
|
||||
cacheId?: string;
|
||||
formattedUrl: string;
|
||||
htmlFormattedUrl: string;
|
||||
pagemap?: {
|
||||
videoobject: any;
|
||||
cse_thumbnail?: Array<{
|
||||
src: string;
|
||||
width: string;
|
||||
height: string;
|
||||
}>;
|
||||
metatags?: Array<{
|
||||
[key: string]: string;
|
||||
author?: string;
|
||||
}>;
|
||||
cse_image?: Array<{
|
||||
src: string;
|
||||
}>;
|
||||
};
|
||||
fileFormat?: string;
|
||||
image?: {
|
||||
contextLink: string;
|
||||
thumbnailLink: string;
|
||||
};
|
||||
mime?: string;
|
||||
labels?: Array<{
|
||||
name: string;
|
||||
displayName: string;
|
||||
}>;
|
||||
}
|
||||
|
||||
export const searchGooglePSE = async (query: string) => {
|
||||
try {
|
||||
const [googleApiKey, googleCseID] = await Promise.all([
|
||||
getGoogleApiKey(),
|
||||
getGoogleCseId(),
|
||||
]);
|
||||
|
||||
const url = new URL(`https://www.googleapis.com/customsearch/v1`);
|
||||
url.searchParams.append('q', query);
|
||||
url.searchParams.append('cx', googleCseID);
|
||||
url.searchParams.append('key', googleApiKey);
|
||||
|
||||
const res = await axios.get(url.toString());
|
||||
|
||||
if (res.data.error) {
|
||||
throw new Error(`Google PSE Error: ${res.data.error.message}`);
|
||||
}
|
||||
|
||||
const originalres = res.data.items;
|
||||
|
||||
const results = originalres.map((item: GooglePSESearchResult) => ({
|
||||
title: item.title,
|
||||
url: item.link,
|
||||
content: item.snippet,
|
||||
img_src:
|
||||
item.pagemap?.cse_image?.[0]?.src ||
|
||||
item.pagemap?.cse_thumbnail?.[0]?.src ||
|
||||
item.image?.thumbnailLink,
|
||||
...(item.pagemap?.videoobject?.[0] && {
|
||||
videoData: {
|
||||
duration: item.pagemap.videoobject[0].duration,
|
||||
embedUrl: item.pagemap.videoobject[0].embedurl,
|
||||
},
|
||||
}),
|
||||
}));
|
||||
|
||||
return { results, originalres };
|
||||
} catch (error) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message || 'Unknown error';
|
||||
throw new Error(`Google PSE Error: ${errorMessage}`);
|
||||
}
|
||||
};
|
@ -1,5 +1,5 @@
|
||||
import axios from 'axios';
|
||||
import { getSearxngApiEndpoint } from '../config';
|
||||
import { getSearxngApiEndpoint } from '../../config';
|
||||
|
||||
interface SearxngSearchOptions {
|
||||
categories?: string[];
|
79
src/lib/searchEngines/yacy.ts
Normal file
79
src/lib/searchEngines/yacy.ts
Normal file
@ -0,0 +1,79 @@
|
||||
import axios from 'axios';
|
||||
import { getYacyJsonEndpoint } from '../../config';
|
||||
|
||||
interface YaCySearchResult {
|
||||
channels: {
|
||||
title: string;
|
||||
description: string;
|
||||
link: string;
|
||||
image: {
|
||||
url: string;
|
||||
title: string;
|
||||
link: string;
|
||||
};
|
||||
startIndex: string;
|
||||
itemsPerPage: string;
|
||||
searchTerms: string;
|
||||
items: {
|
||||
title: string;
|
||||
link: string;
|
||||
code: string;
|
||||
description: string;
|
||||
pubDate: string;
|
||||
image?: string;
|
||||
size: string;
|
||||
sizename: string;
|
||||
guid: string;
|
||||
faviconUrl: string;
|
||||
host: string;
|
||||
path: string;
|
||||
file: string;
|
||||
urlhash: string;
|
||||
ranking: string;
|
||||
}[];
|
||||
navigation: {
|
||||
facetname: string;
|
||||
displayname: string;
|
||||
type: string;
|
||||
min: string;
|
||||
max: string;
|
||||
mean: string;
|
||||
elements: {
|
||||
name: string;
|
||||
count: string;
|
||||
modifier: string;
|
||||
url: string;
|
||||
}[];
|
||||
}[];
|
||||
}[];
|
||||
}
|
||||
|
||||
export const searchYaCy = async (query: string, numResults: number = 20) => {
|
||||
try {
|
||||
const yacyBaseUrl = getYacyJsonEndpoint();
|
||||
|
||||
const url = new URL(`${yacyBaseUrl}/yacysearch.json`);
|
||||
url.searchParams.append('query', query);
|
||||
url.searchParams.append('count', numResults.toString());
|
||||
|
||||
const res = await axios.get(url.toString());
|
||||
|
||||
const originalres = res.data as YaCySearchResult;
|
||||
|
||||
const results = originalres.channels[0].items.map((item) => ({
|
||||
title: item.title,
|
||||
url: item.link,
|
||||
content: item.description,
|
||||
img_src: item.image || null,
|
||||
pubDate: item.pubDate,
|
||||
host: item.host,
|
||||
}));
|
||||
|
||||
return { results, originalres };
|
||||
} catch (error) {
|
||||
const errorMessage = error.response?.data
|
||||
? JSON.stringify(error.response.data, null, 2)
|
||||
: error.message || 'Unknown error';
|
||||
throw new Error(`YaCy Error: ${errorMessage}`);
|
||||
}
|
||||
};
|
@ -50,7 +50,7 @@ export const academicSearchResponsePrompt = `
|
||||
- If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
|
||||
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
|
||||
- You are set on focus mode 'Academic', this means you will be searching for academic papers and articles on the web.
|
||||
|
||||
|
||||
### Example Output
|
||||
- Begin with a brief introduction summarizing the event or query topic.
|
||||
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.
|
||||
|
@ -50,7 +50,7 @@ export const redditSearchResponsePrompt = `
|
||||
- If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
|
||||
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
|
||||
- You are set on focus mode 'Reddit', this means you will be searching for information, opinions and discussions on the web using Reddit.
|
||||
|
||||
|
||||
### Example Output
|
||||
- Begin with a brief introduction summarizing the event or query topic.
|
||||
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.
|
||||
|
@ -50,7 +50,7 @@ export const wolframAlphaSearchResponsePrompt = `
|
||||
- If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
|
||||
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
|
||||
- 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.
|
||||
|
||||
|
||||
### Example Output
|
||||
- Begin with a brief introduction summarizing the event or query topic.
|
||||
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.
|
||||
|
@ -1,5 +1,5 @@
|
||||
export const writingAssistantPrompt = `
|
||||
You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are currently set on focus mode 'Writing Assistant', this means you will be helping the user write a response to a given query.
|
||||
You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are currently set on focus mode 'Writing Assistant', this means you will be helping the user write a response to a given query.
|
||||
Since you are a writing assistant, you would not perform web searches. If you think you lack information to answer the query, you can ask the user for more information or suggest them to switch to a different focus mode.
|
||||
You will be shared a context that can contain information from files user has uploaded to get answers from. You will have to generate answers upon that.
|
||||
|
||||
|
@ -50,7 +50,7 @@ export const youtubeSearchResponsePrompt = `
|
||||
- If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
|
||||
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
|
||||
- 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 transcrip
|
||||
|
||||
|
||||
### Example Output
|
||||
- Begin with a brief introduction summarizing the event or query topic.
|
||||
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.
|
||||
|
@ -13,6 +13,16 @@ import {
|
||||
getCustomOpenaiApiUrl,
|
||||
getCustomOpenaiApiKey,
|
||||
getCustomOpenaiModelName,
|
||||
getSearchEngineBackend,
|
||||
getImageSearchEngineBackend,
|
||||
getVideoSearchEngineBackend,
|
||||
getNewsSearchEngineBackend,
|
||||
getSearxngApiEndpoint,
|
||||
getGoogleApiKey,
|
||||
getGoogleCseId,
|
||||
getBingSubscriptionKey,
|
||||
getBraveApiKey,
|
||||
getYacyJsonEndpoint,
|
||||
} from '../config';
|
||||
import logger from '../utils/logger';
|
||||
|
||||
@ -60,6 +70,21 @@ router.get('/', async (_, res) => {
|
||||
config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl();
|
||||
config['customOpenaiApiKey'] = getCustomOpenaiApiKey();
|
||||
config['customOpenaiModelName'] = getCustomOpenaiModelName();
|
||||
|
||||
// Add search engine configuration
|
||||
config['searchEngineBackends'] = {
|
||||
search: getSearchEngineBackend(),
|
||||
image: getImageSearchEngineBackend(),
|
||||
video: getVideoSearchEngineBackend(),
|
||||
news: getNewsSearchEngineBackend(),
|
||||
};
|
||||
|
||||
config['searxngEndpoint'] = getSearxngApiEndpoint();
|
||||
config['googleApiKey'] = getGoogleApiKey();
|
||||
config['googleCseId'] = getGoogleCseId();
|
||||
config['bingSubscriptionKey'] = getBingSubscriptionKey();
|
||||
config['braveApiKey'] = getBraveApiKey();
|
||||
config['yacyEndpoint'] = getYacyJsonEndpoint();
|
||||
|
||||
res.status(200).json(config);
|
||||
} catch (err: any) {
|
||||
@ -94,6 +119,30 @@ router.post('/', async (req, res) => {
|
||||
MODEL_NAME: config.customOpenaiModelName,
|
||||
},
|
||||
},
|
||||
SEARCH_ENGINE_BACKENDS: config.searchEngineBackends ? {
|
||||
SEARCH: config.searchEngineBackends.search,
|
||||
IMAGE: config.searchEngineBackends.image,
|
||||
VIDEO: config.searchEngineBackends.video,
|
||||
NEWS: config.searchEngineBackends.news,
|
||||
} : undefined,
|
||||
SEARCH_ENGINES: {
|
||||
GOOGLE: {
|
||||
API_KEY: config.googleApiKey,
|
||||
CSE_ID: config.googleCseId,
|
||||
},
|
||||
SEARXNG: {
|
||||
ENDPOINT: config.searxngEndpoint,
|
||||
},
|
||||
BING: {
|
||||
SUBSCRIPTION_KEY: config.bingSubscriptionKey,
|
||||
},
|
||||
BRAVE: {
|
||||
API_KEY: config.braveApiKey,
|
||||
},
|
||||
YACY: {
|
||||
ENDPOINT: config.yacyEndpoint,
|
||||
},
|
||||
},
|
||||
};
|
||||
|
||||
updateConfig(updatedConfig);
|
||||
|
@ -1,42 +1,125 @@
|
||||
import express from 'express';
|
||||
import { searchSearxng } from '../lib/searxng';
|
||||
import { searchSearxng } from '../lib/searchEngines/searxng';
|
||||
import { searchGooglePSE } from '../lib/searchEngines/google_pse';
|
||||
import { searchBraveAPI } from '../lib/searchEngines/brave';
|
||||
import { searchYaCy } from '../lib/searchEngines/yacy';
|
||||
import { searchBingAPI } from '../lib/searchEngines/bing';
|
||||
import { getNewsSearchEngineBackend } from '../config';
|
||||
import logger from '../utils/logger';
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
async function performSearch(query: string, site: string) {
|
||||
const searchEngine = getNewsSearchEngineBackend();
|
||||
switch (searchEngine) {
|
||||
case 'google': {
|
||||
const googleResult = await searchGooglePSE(query);
|
||||
|
||||
return googleResult.originalres.map((item) => {
|
||||
const imageSources = [
|
||||
item.pagemap?.cse_image?.[0]?.src,
|
||||
item.pagemap?.cse_thumbnail?.[0]?.src,
|
||||
item.pagemap?.metatags?.[0]?.['og:image'],
|
||||
item.pagemap?.metatags?.[0]?.['twitter:image'],
|
||||
item.pagemap?.metatags?.[0]?.['image'],
|
||||
].filter(Boolean); // Remove undefined values
|
||||
|
||||
return {
|
||||
title: item.title,
|
||||
url: item.link,
|
||||
content: item.snippet,
|
||||
thumbnail: imageSources[0], // First available image
|
||||
img_src: imageSources[0], // Same as thumbnail for consistency
|
||||
iframe_src: null,
|
||||
author: item.pagemap?.metatags?.[0]?.['og:site_name'] || site,
|
||||
publishedDate:
|
||||
item.pagemap?.metatags?.[0]?.['article:published_time'],
|
||||
};
|
||||
});
|
||||
}
|
||||
|
||||
case 'searxng': {
|
||||
const searxResult = await searchSearxng(query, {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
});
|
||||
return searxResult.results;
|
||||
}
|
||||
|
||||
case 'brave': {
|
||||
const braveResult = await searchBraveAPI(query);
|
||||
return braveResult.results.map((item) => ({
|
||||
title: item.title,
|
||||
url: item.url,
|
||||
content: item.content,
|
||||
thumbnail: item.img_src,
|
||||
img_src: item.img_src,
|
||||
iframe_src: null,
|
||||
author: item.meta?.fetched || site,
|
||||
publishedDate: item.meta?.lastCrawled,
|
||||
}));
|
||||
}
|
||||
|
||||
case 'yacy': {
|
||||
const yacyResult = await searchYaCy(query);
|
||||
return yacyResult.results.map((item) => ({
|
||||
title: item.title,
|
||||
url: item.url,
|
||||
content: item.content,
|
||||
thumbnail: item.img_src,
|
||||
img_src: item.img_src,
|
||||
iframe_src: null,
|
||||
author: item?.host || site,
|
||||
publishedDate: item?.pubDate,
|
||||
}));
|
||||
}
|
||||
|
||||
case 'bing': {
|
||||
const bingResult = await searchBingAPI(query);
|
||||
return bingResult.results.map((item) => ({
|
||||
title: item.title,
|
||||
url: item.url,
|
||||
content: item.content,
|
||||
thumbnail: item.img_src,
|
||||
img_src: item.img_src,
|
||||
iframe_src: null,
|
||||
author: item?.publisher || site,
|
||||
publishedDate: item?.datePublished,
|
||||
}));
|
||||
}
|
||||
|
||||
default:
|
||||
throw new Error(`Unknown search engine ${searchEngine}`);
|
||||
}
|
||||
}
|
||||
|
||||
router.get('/', async (req, res) => {
|
||||
try {
|
||||
const queries = [
|
||||
{ site: 'businessinsider.com', topic: 'AI' },
|
||||
{ site: 'www.exchangewire.com', topic: 'AI' },
|
||||
{ site: 'yahoo.com', topic: 'AI' },
|
||||
{ site: 'businessinsider.com', topic: 'tech' },
|
||||
{ site: 'www.exchangewire.com', topic: 'tech' },
|
||||
{ site: 'yahoo.com', topic: 'tech' },
|
||||
];
|
||||
|
||||
const data = (
|
||||
await Promise.all([
|
||||
searchSearxng('site:businessinsider.com AI', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
await Promise.all(
|
||||
queries.map(async ({ site, topic }) => {
|
||||
try {
|
||||
const query = `site:${site} ${topic}`;
|
||||
return await performSearch(query, site);
|
||||
} catch (error) {
|
||||
logger.error(`Error searching ${site}: ${error.message}`);
|
||||
return [];
|
||||
}
|
||||
}),
|
||||
searchSearxng('site:www.exchangewire.com AI', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
}),
|
||||
searchSearxng('site:yahoo.com AI', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
}),
|
||||
searchSearxng('site:businessinsider.com tech', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
}),
|
||||
searchSearxng('site:www.exchangewire.com tech', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
}),
|
||||
searchSearxng('site:yahoo.com tech', {
|
||||
engines: ['bing news'],
|
||||
pageno: 1,
|
||||
}),
|
||||
])
|
||||
)
|
||||
)
|
||||
.map((result) => result.results)
|
||||
.flat()
|
||||
.sort(() => Math.random() - 0.5);
|
||||
.sort(() => Math.random() - 0.5)
|
||||
.filter((item) => item.title && item.url && item.content);
|
||||
|
||||
return res.json({ blogs: data });
|
||||
} catch (err: any) {
|
||||
|
@ -17,7 +17,12 @@ import LineListOutputParser from '../lib/outputParsers/listLineOutputParser';
|
||||
import LineOutputParser from '../lib/outputParsers/lineOutputParser';
|
||||
import { getDocumentsFromLinks } from '../utils/documents';
|
||||
import { Document } from 'langchain/document';
|
||||
import { searchSearxng } from '../lib/searxng';
|
||||
import { searchSearxng } from '../lib/searchEngines/searxng';
|
||||
import { searchGooglePSE } from '../lib/searchEngines/google_pse';
|
||||
import { searchBingAPI } from '../lib/searchEngines/bing';
|
||||
import { searchBraveAPI } from '../lib/searchEngines/brave';
|
||||
import { searchYaCy } from '../lib/searchEngines/yacy';
|
||||
import { getSearchEngineBackend } from '../config';
|
||||
import path from 'path';
|
||||
import fs from 'fs';
|
||||
import computeSimilarity from '../utils/computeSimilarity';
|
||||
@ -129,7 +134,7 @@ class MetaSearchAgent implements MetaSearchAgentType {
|
||||
await Promise.all(
|
||||
docGroups.map(async (doc) => {
|
||||
const res = await llm.invoke(`
|
||||
You are a web search summarizer, tasked with summarizing a piece of text retrieved from a web search. Your job is to summarize the
|
||||
You are a web search summarizer, tasked with summarizing a piece of text retrieved from a web search. Your job is to summarize the
|
||||
text into a detailed, 2-4 paragraph explanation that captures the main ideas and provides a comprehensive answer to the query.
|
||||
If the query is \"summarize\", you should provide a detailed summary of the text. If the query is a specific question, you should answer it in the summary.
|
||||
|
||||
@ -141,8 +146,8 @@ class MetaSearchAgent implements MetaSearchAgentType {
|
||||
|
||||
<example>
|
||||
1. \`<text>
|
||||
Docker is a set of platform-as-a-service products that use OS-level virtualization to deliver software in packages called containers.
|
||||
It was first released in 2013 and is developed by Docker, Inc. Docker is designed to make it easier to create, deploy, and run applications
|
||||
Docker is a set of platform-as-a-service products that use OS-level virtualization to deliver software in packages called containers.
|
||||
It was first released in 2013 and is developed by Docker, Inc. Docker is designed to make it easier to create, deploy, and run applications
|
||||
by using containers.
|
||||
</text>
|
||||
|
||||
@ -151,8 +156,8 @@ class MetaSearchAgent implements MetaSearchAgentType {
|
||||
</query>
|
||||
|
||||
Response:
|
||||
Docker is a revolutionary platform-as-a-service product developed by Docker, Inc., that uses container technology to make application
|
||||
deployment more efficient. It allows developers to package their software with all necessary dependencies, making it easier to run in
|
||||
Docker is a revolutionary platform-as-a-service product developed by Docker, Inc., that uses container technology to make application
|
||||
deployment more efficient. It allows developers to package their software with all necessary dependencies, making it easier to run in
|
||||
any environment. Released in 2013, Docker has transformed the way applications are built, deployed, and managed.
|
||||
\`
|
||||
2. \`<text>
|
||||
@ -203,10 +208,37 @@ class MetaSearchAgent implements MetaSearchAgentType {
|
||||
|
||||
return { query: question, docs: docs };
|
||||
} else {
|
||||
const res = await searchSearxng(question, {
|
||||
language: 'en',
|
||||
engines: this.config.activeEngines,
|
||||
});
|
||||
const searchEngine = getSearchEngineBackend();
|
||||
|
||||
let res;
|
||||
switch (searchEngine) {
|
||||
case 'searxng':
|
||||
res = await searchSearxng(question, {
|
||||
language: 'en',
|
||||
engines: this.config.activeEngines,
|
||||
});
|
||||
break;
|
||||
case 'google':
|
||||
res = await searchGooglePSE(question);
|
||||
break;
|
||||
case 'bing':
|
||||
res = await searchBingAPI(question);
|
||||
break;
|
||||
case 'brave':
|
||||
res = await searchBraveAPI(question);
|
||||
break;
|
||||
case 'yacy':
|
||||
res = await searchYaCy(question);
|
||||
break;
|
||||
default:
|
||||
throw new Error(`Unknown search engine ${searchEngine}`);
|
||||
}
|
||||
|
||||
if (!res?.results) {
|
||||
throw new Error(
|
||||
`No results found for search engine: ${searchEngine}`,
|
||||
);
|
||||
}
|
||||
|
||||
const documents = res.results.map(
|
||||
(result) =>
|
||||
|
@ -23,6 +23,18 @@ interface SettingsType {
|
||||
customOpenaiApiKey: string;
|
||||
customOpenaiApiUrl: string;
|
||||
customOpenaiModelName: string;
|
||||
searchEngineBackends: {
|
||||
search: string;
|
||||
image: string;
|
||||
video: string;
|
||||
news: string;
|
||||
};
|
||||
searxngEndpoint: string;
|
||||
googleApiKey: string;
|
||||
googleCseId: string;
|
||||
bingSubscriptionKey: string;
|
||||
braveApiKey: string;
|
||||
yacyEndpoint: string;
|
||||
}
|
||||
|
||||
interface InputProps extends React.InputHTMLAttributes<HTMLInputElement> {
|
||||
@ -112,6 +124,12 @@ const Page = () => {
|
||||
const [automaticImageSearch, setAutomaticImageSearch] = useState(false);
|
||||
const [automaticVideoSearch, setAutomaticVideoSearch] = useState(false);
|
||||
const [savingStates, setSavingStates] = useState<Record<string, boolean>>({});
|
||||
const [searchEngineBackends, setSearchEngineBackends] = useState({
|
||||
search: '',
|
||||
image: '',
|
||||
video: '',
|
||||
news: '',
|
||||
});
|
||||
|
||||
useEffect(() => {
|
||||
const fetchConfig = async () => {
|
||||
@ -125,6 +143,16 @@ const Page = () => {
|
||||
const data = (await res.json()) as SettingsType;
|
||||
setConfig(data);
|
||||
|
||||
// Set search engine backends if they exist in the response
|
||||
if (data.searchEngineBackends) {
|
||||
setSearchEngineBackends({
|
||||
search: data.searchEngineBackends.search || '',
|
||||
image: data.searchEngineBackends.image || '',
|
||||
video: data.searchEngineBackends.video || '',
|
||||
news: data.searchEngineBackends.news || '',
|
||||
});
|
||||
}
|
||||
|
||||
const chatModelProvidersKeys = Object.keys(data.chatModelProviders || {});
|
||||
const embeddingModelProvidersKeys = Object.keys(
|
||||
data.embeddingModelProviders || {},
|
||||
@ -331,6 +359,8 @@ const Page = () => {
|
||||
localStorage.setItem('embeddingModelProvider', value);
|
||||
} else if (key === 'embeddingModel') {
|
||||
localStorage.setItem('embeddingModel', value);
|
||||
} else if (key === 'searchEngineBackends') {
|
||||
localStorage.setItem('searchEngineBackends', value);
|
||||
}
|
||||
} catch (err) {
|
||||
console.error('Failed to save:', err);
|
||||
@ -793,6 +823,234 @@ const Page = () => {
|
||||
</div>
|
||||
</div>
|
||||
</SettingsSection>
|
||||
|
||||
<SettingsSection title="Search Engine Settings">
|
||||
<div className="flex flex-col space-y-4">
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Default Search Engine
|
||||
</p>
|
||||
<Select
|
||||
value={searchEngineBackends.search}
|
||||
onChange={(e) => {
|
||||
const value = e.target.value;
|
||||
setSearchEngineBackends((prev) => ({
|
||||
...prev,
|
||||
search: value,
|
||||
}));
|
||||
saveConfig('searchEngineBackends', {
|
||||
...searchEngineBackends,
|
||||
search: value,
|
||||
});
|
||||
}}
|
||||
options={[
|
||||
{ value: 'searxng', label: 'SearXNG' },
|
||||
{ value: 'google', label: 'Google' },
|
||||
{ value: 'bing', label: 'Bing' },
|
||||
{ value: 'brave', label: 'Brave' },
|
||||
{ value: 'yacy', label: 'YaCy' },
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Image Search Engine
|
||||
</p>
|
||||
<Select
|
||||
value={searchEngineBackends.image}
|
||||
onChange={(e) => {
|
||||
const value = e.target.value;
|
||||
setSearchEngineBackends((prev) => ({
|
||||
...prev,
|
||||
image: value,
|
||||
}));
|
||||
saveConfig('searchEngineBackends', {
|
||||
...searchEngineBackends,
|
||||
image: value,
|
||||
});
|
||||
}}
|
||||
options={[
|
||||
{ value: '', label: 'Use Default Search Engine' },
|
||||
{ value: 'searxng', label: 'SearXNG' },
|
||||
{ value: 'google', label: 'Google' },
|
||||
{ value: 'bing', label: 'Bing' },
|
||||
{ value: 'brave', label: 'Brave' },
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Video Search Engine
|
||||
</p>
|
||||
<Select
|
||||
value={searchEngineBackends.video}
|
||||
onChange={(e) => {
|
||||
const value = e.target.value;
|
||||
setSearchEngineBackends((prev) => ({
|
||||
...prev,
|
||||
video: value,
|
||||
}));
|
||||
saveConfig('searchEngineBackends', {
|
||||
...searchEngineBackends,
|
||||
video: value,
|
||||
});
|
||||
}}
|
||||
options={[
|
||||
{ value: '', label: 'Use Default Search Engine' },
|
||||
{ value: 'searxng', label: 'SearXNG' },
|
||||
{ value: 'google', label: 'Google' },
|
||||
{ value: 'bing', label: 'Bing' },
|
||||
{ value: 'brave', label: 'Brave' },
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
News Search Engine
|
||||
</p>
|
||||
<Select
|
||||
value={searchEngineBackends.news}
|
||||
onChange={(e) => {
|
||||
const value = e.target.value;
|
||||
setSearchEngineBackends((prev) => ({
|
||||
...prev,
|
||||
news: value,
|
||||
}));
|
||||
saveConfig('searchEngineBackends', {
|
||||
...searchEngineBackends,
|
||||
news: value,
|
||||
});
|
||||
}}
|
||||
options={[
|
||||
{ value: '', label: 'Use Default Search Engine' },
|
||||
{ value: 'searxng', label: 'SearXNG' },
|
||||
{ value: 'google', label: 'Google' },
|
||||
{ value: 'bing', label: 'Bing' },
|
||||
{ value: 'brave', label: 'Brave' },
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="pt-4 border-t border-light-200 dark:border-dark-200">
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
SearXNG Endpoint
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="SearXNG API Endpoint"
|
||||
value={config.searxngEndpoint || ''}
|
||||
isSaving={savingStates['searxngEndpoint']}
|
||||
onChange={(e) => {
|
||||
setConfig((prev) => ({
|
||||
...prev!,
|
||||
searxngEndpoint: e.target.value,
|
||||
}));
|
||||
}}
|
||||
onSave={(value) => saveConfig('searxngEndpoint', value)}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Google API Key
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="Google API Key"
|
||||
value={config.googleApiKey || ''}
|
||||
isSaving={savingStates['googleApiKey']}
|
||||
onChange={(e) => {
|
||||
setConfig((prev) => ({
|
||||
...prev!,
|
||||
googleApiKey: e.target.value,
|
||||
}));
|
||||
}}
|
||||
onSave={(value) => saveConfig('googleApiKey', value)}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Google CSE ID
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="Google Custom Search Engine ID"
|
||||
value={config.googleCseId || ''}
|
||||
isSaving={savingStates['googleCseId']}
|
||||
onChange={(e) => {
|
||||
setConfig((prev) => ({
|
||||
...prev!,
|
||||
googleCseId: e.target.value,
|
||||
}));
|
||||
}}
|
||||
onSave={(value) => saveConfig('googleCseId', value)}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Bing Subscription Key
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="Bing Subscription Key"
|
||||
value={config.bingSubscriptionKey || ''}
|
||||
isSaving={savingStates['bingSubscriptionKey']}
|
||||
onChange={(e) => {
|
||||
setConfig((prev) => ({
|
||||
...prev!,
|
||||
bingSubscriptionKey: e.target.value,
|
||||
}));
|
||||
}}
|
||||
onSave={(value) => saveConfig('bingSubscriptionKey', value)}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
Brave API Key
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="Brave API Key"
|
||||
value={config.braveApiKey || ''}
|
||||
isSaving={savingStates['braveApiKey']}
|
||||
onChange={(e) => {
|
||||
setConfig((prev) => ({
|
||||
...prev!,
|
||||
braveApiKey: e.target.value,
|
||||
}));
|
||||
}}
|
||||
onSave={(value) => saveConfig('braveApiKey', value)}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col space-y-1">
|
||||
<p className="text-black/70 dark:text-white/70 text-sm">
|
||||
YaCy Endpoint
|
||||
</p>
|
||||
<Input
|
||||
type="text"
|
||||
placeholder="YaCy API Endpoint"
|
||||
value={config.yacyEndpoint || ''}
|
||||
isSaving={savingStates['yacyEndpoint']}
|
||||
onChange={(e) => {
|
||||
setConfig((prev) => ({
|
||||
...prev!,
|
||||
yacyEndpoint: e.target.value,
|
||||
}));
|
||||
}}
|
||||
onSave={(value) => saveConfig('yacyEndpoint', value)}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</SettingsSection>
|
||||
</div>
|
||||
)
|
||||
)}
|
||||
|
@ -368,7 +368,7 @@ const loadMessages = async (
|
||||
|
||||
const ChatWindow = ({ id }: { id?: string }) => {
|
||||
const searchParams = useSearchParams();
|
||||
const initialMessage = searchParams?.get('q');
|
||||
const initialMessage = searchParams.get('q');
|
||||
|
||||
const [chatId, setChatId] = useState<string | undefined>(id);
|
||||
const [newChatCreated, setNewChatCreated] = useState(false);
|
||||
@ -378,9 +378,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
|
||||
|
||||
const [isWSReady, setIsWSReady] = useState(false);
|
||||
const ws = useSocket(
|
||||
process.env.NEXT_PUBLIC_WS_URL === 'auto'
|
||||
? `${window.location.protocol === 'https:' ? 'wss:' : 'ws:'}//${window.location.host}/ws`
|
||||
: process.env.NEXT_PUBLIC_WS_URL!,
|
||||
process.env.NEXT_PUBLIC_WS_URL!,
|
||||
setIsWSReady,
|
||||
setHasError,
|
||||
);
|
||||
|
@ -68,7 +68,13 @@ const MessageBox = ({
|
||||
return (
|
||||
<div>
|
||||
{message.role === 'user' && (
|
||||
<div className={cn('w-full', messageIndex === 0 ? 'pt-16' : 'pt-8', 'break-words')}>
|
||||
<div
|
||||
className={cn(
|
||||
'w-full',
|
||||
messageIndex === 0 ? 'pt-16' : 'pt-8',
|
||||
'break-words',
|
||||
)}
|
||||
>
|
||||
<h2 className="text-black dark:text-white font-medium text-3xl lg:w-9/12">
|
||||
{message.content}
|
||||
</h2>
|
||||
|
Reference in New Issue
Block a user