A FastMCP-based RAG server for dynamic document ingestion
Project description
RAG Server
A FastMCP-based Retrieval-Augmented Generation server for dynamically ingesting public documents and querying them on-the-fly.
Installation
pip install -r requirements.txt
Ensure you set your OpenAI API key:
export OPENAI_API_KEY=your_key_here
Running the server
python -m rag_server.server
API Tools
- ingest_urls(urls: List[str], session_id: Optional[str]) -> session_id
- query_knowledge(session_id: str, question: str) -> answer
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