Enables document ingestion, semantic search, and retrieval-augmented generation via MCP tools and REST API, using vector embeddings and intelligent chunking.
A modular RAG framework exposing knowledge retrieval tools via MCP, enabling AI assistants to perform hybrid search, reranking, and multimodal document queries with full observability and evaluation.
A pluggable, observable modular RAG service framework that exposes tools via MCP protocol for AI assistants, supporting hybrid search, reranking, multi-modal processing, and evaluation.