172 lines
4.2 KiB
Markdown
172 lines
4.2 KiB
Markdown
|
|
# LightRAG API Server
|
|
|
|
A powerful FastAPI-based server for managing and querying documents using LightRAG (Light Retrieval-Augmented Generation). This server provides a REST API interface for document management and intelligent querying using OpenAI's language models.
|
|
|
|
## Features
|
|
|
|
- 🔍 Multiple search modes (naive, local, global, hybrid)
|
|
- 📡 Streaming and non-streaming responses
|
|
- 📝 Document management (insert, batch upload, clear)
|
|
- ⚙️ Highly configurable model parameters
|
|
- 📚 Support for text and file uploads
|
|
- 🔧 RESTful API with automatic documentation
|
|
- 🚀 Built with FastAPI for high performance
|
|
|
|
## Prerequisites
|
|
|
|
- Python 3.8+
|
|
- OpenAI API key
|
|
- Required Python packages:
|
|
- fastapi
|
|
- uvicorn
|
|
- lightrag
|
|
- pydantic
|
|
- openai
|
|
- nest-asyncio
|
|
|
|
## Installation
|
|
If you are using Windows, you will need to download and install visual c++ build tools from [https://visualstudio.microsoft.com/visual-cpp-build-tools/](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
|
|
Make sure you install the VS 2022 C++ x64/x86 Build tools from individual components tab.
|
|
|
|
1. Clone the repository:
|
|
```bash
|
|
git clone https://github.com/ParisNeo/LightRAG.git
|
|
cd api
|
|
```
|
|
|
|
2. Install dependencies:
|
|
```bash
|
|
pip install -r requirements.txt
|
|
```
|
|
|
|
3. Set up your OpenAI API key:
|
|
```bash
|
|
export OPENAI_API_KEY='your-api-key-here'
|
|
```
|
|
|
|
## Configuration
|
|
|
|
The server can be configured using command-line arguments:
|
|
|
|
```bash
|
|
python openai_lightrag_server.py --help
|
|
```
|
|
|
|
Available options:
|
|
|
|
| Parameter | Default | Description |
|
|
|-----------|---------|-------------|
|
|
| --host | 0.0.0.0 | Server host |
|
|
| --port | 9621 | Server port |
|
|
| --model | gpt-4 | OpenAI model name |
|
|
| --embedding-model | text-embedding-3-large | OpenAI embedding model |
|
|
| --working-dir | ./rag_storage | Working directory for RAG |
|
|
| --max-tokens | 32768 | Maximum token size |
|
|
| --max-embed-tokens | 8192 | Maximum embedding token size |
|
|
| --input-dir | ./inputs | Input directory for documents |
|
|
| --log-level | INFO | Logging level |
|
|
|
|
## Quick Start
|
|
|
|
1. Basic usage with default settings:
|
|
```bash
|
|
python openai_lightrag_server.py
|
|
```
|
|
|
|
2. Custom configuration:
|
|
```bash
|
|
python openai_lightrag_server.py --model gpt-4 --port 8080 --working-dir ./custom_rag
|
|
```
|
|
|
|
## API Endpoints
|
|
|
|
### Query Endpoints
|
|
|
|
#### POST /query
|
|
Query the RAG system with options for different search modes.
|
|
|
|
```bash
|
|
curl -X POST "http://localhost:9621/query" \
|
|
-H "Content-Type: application/json" \
|
|
-d '{"query": "Your question here", "mode": "hybrid"}'
|
|
```
|
|
|
|
#### POST /query/stream
|
|
Stream responses from the RAG system.
|
|
|
|
```bash
|
|
curl -X POST "http://localhost:9621/query/stream" \
|
|
-H "Content-Type: application/json" \
|
|
-d '{"query": "Your question here", "mode": "hybrid"}'
|
|
```
|
|
|
|
### Document Management Endpoints
|
|
|
|
#### POST /documents/text
|
|
Insert text directly into the RAG system.
|
|
|
|
```bash
|
|
curl -X POST "http://localhost:9621/documents/text" \
|
|
-H "Content-Type: application/json" \
|
|
-d '{"text": "Your text content here", "description": "Optional description"}'
|
|
```
|
|
|
|
#### POST /documents/file
|
|
Upload a single file to the RAG system.
|
|
|
|
```bash
|
|
curl -X POST "http://localhost:9621/documents/file" \
|
|
-F "file=@/path/to/your/document.txt" \
|
|
-F "description=Optional description"
|
|
```
|
|
|
|
#### POST /documents/batch
|
|
Upload multiple files at once.
|
|
|
|
```bash
|
|
curl -X POST "http://localhost:9621/documents/batch" \
|
|
-F "files=@/path/to/doc1.txt" \
|
|
-F "files=@/path/to/doc2.txt"
|
|
```
|
|
|
|
#### DELETE /documents
|
|
Clear all documents from the RAG system.
|
|
|
|
```bash
|
|
curl -X DELETE "http://localhost:9621/documents"
|
|
```
|
|
|
|
### Utility Endpoints
|
|
|
|
#### GET /health
|
|
Check server health and configuration.
|
|
|
|
```bash
|
|
curl "http://localhost:9621/health"
|
|
```
|
|
|
|
## Development
|
|
|
|
### Running in Development Mode
|
|
|
|
```bash
|
|
uvicorn openai_lightrag_server:app --reload --port 9621
|
|
```
|
|
|
|
### API Documentation
|
|
|
|
When the server is running, visit:
|
|
- Swagger UI: http://localhost:9621/docs
|
|
- ReDoc: http://localhost:9621/redoc
|
|
|
|
## License
|
|
|
|
This project is licensed under the MIT License - see the LICENSE file for details.
|
|
|
|
## Acknowledgments
|
|
|
|
- Built with [FastAPI](https://fastapi.tiangolo.com/)
|
|
- Uses [LightRAG](https://github.com/HKUDS/LightRAG) for document processing
|
|
- Powered by [OpenAI](https://openai.com/) for language model inference
|