Enables agents to turn documents into vectors, perform approximate nearest neighbor search with HNSW, and filter by metadata via MCP tools for RAG workflows.
Enables AI assistants to perform retrieval-augmented generation with hybrid search, reranking, multi-modal image processing, and RAG evaluation through standardized MCP tools.
Enables natural language interaction with enterprise tools including file, database, GitHub, Slack, browser, calendar, email, vector search, and Python calculation through OpenAI and MCP Client.