Enables document ingestion, semantic search, and retrieval-augmented generation via MCP tools and REST API, using vector embeddings and intelligent chunking.
An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.
A self-hostable, MCP-native RAG pipeline that ingests, indexes, and serves data, enabling AI agents to scan codebases for prioritized findings and integrate with CI workflows.