Enables semantic search and question-answering over FAQ documents using RAG (Retrieval-Augmented Generation) with OpenAI embeddings and in-memory vector similarity.
Enables document ingestion, semantic search, and retrieval-augmented generation via MCP tools and REST API, using vector embeddings and intelligent chunking.
MCP server that enables querying an HR FAQ document via RAG, returning accurate answers and related chunks, and supports index rebuilding and response evaluation.