haiku.rag is an MIT-licensed Python package for building local-first agentic retrieval-augmented generation systems. It supports document ingestion, embeddings, hybrid search, reranking, citations, and multimodal retrieval over user-owned documents without requiring a database server.
Rag is a RAG, search & retrieval project. It focuses on building a local document retrieval system with citations, hybrid search, and multimodal support without operating a database server. Rag is an open-source project aimed at developers building local RAG and agent applications. Rag is open source under the MIT license. Rag is available on the command line and API, and it can be self-hosted.
Gonzalo Gozalo builds and maintains Rag, and it first shipped in 2025. Development happens publicly on GitHub with 584 stars and 704 commits in the last 90 days. Key capabilities include document ingestion, hybrid search, and result reranking. It exposes integrations via an MCP server.
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