ggozad/haiku.rag
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
- Stars
- 634
- Forks
- 55
- Open issues
- 2
- Last push
- 1d ago
About haiku.rag
haiku.rag is a free, open-source AI agent tool by ggozad, written mainly in Python. Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server. It has 634 GitHub stars and 55 forks, and was last updated 1d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 634
- Last update
- 1d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
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haiku.rag FAQ
Is haiku.rag free?
Yes. haiku.rag is open source and free to use. It's released under the MIT license, a standard open-source license.
Does haiku.rag run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does haiku.rag need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is haiku.rag still maintained?
Yes. It was last updated 1d ago and has 2 open issues on GitHub.
What are alternatives to haiku.rag?
Similar free, open-source tools include hermes-agent, claude-code-best-practice, ponytail, paperclip.