This project provides a framework for document indexing and retrieval using vector embeddings stored in PostgreSQL via pgvector. It leverages Langchain for embedding operations and offers async endpoints for adding, retrieving, and deleting documents organized by file_id. The primary use case is integration with LibreChat to enable AI-powered conversational search.