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 # Haiku RAG
 
+mcp-name: io.github.ggozad/haiku-rag
+
 Retrieval-Augmented Generation (RAG) library built on LanceDB.
 
 `haiku.rag` is a Retrieval-Augmented Generation (RAG) library built to work with LanceDB as a local vector database. It uses LanceDB for storing embeddings and performs semantic (vector) search as well as full-text search combined through native hybrid search with Reciprocal Rank Fusion. Both open-source (Ollama) as well as commercial (OpenAI, VoyageAI) embedding providers are supported.