This project integrates Langchain with FastAPI, providing a framework for document indexing and retrieval, as well as chat functionality, using PostgreSQL and pgvector. It is designed to support both synchronous and asynchronous operations.
- Document Management: Methods for adding, retrieving, and deleting documents.
- Vector Store: Utilizes Langchain's vector store for efficient document retrieval.
- Chat Functionality: Includes a chat endpoint that leverages Langchain for response generation.
- Asynchronous Support: Offers async operations for enhanced performance.
Ensure to set environment variables such as POSTGRES_DB, POSTGRES_USER, POSTGRES_PASSWORD, DB_HOST, DB_PORT, and OPENAI_API_KEY. Configure the database connection string appropriately and initialize Langchain and OpenAI embeddings according to project needs.