Rag
haiku.rag is an open-source agentic retrieval-augmented generation system for local and self-hosted document search. It combines hybrid retrieval, reranking, multimodal document processing with Docling, embedded LanceDB storage, and an MCP server for developer integrations.
Overview
8 featuresIn the RAG, search & retrieval space, Rag takes a focused approach. It focuses on searching and retrieving relevant information from local or self-hosted documents across text and multimodal content. Rag is an open-source project aimed at developers and technical teams building private document search systems. The project is open source (Open Source). It ships for the web, the command line, and API, and it can be self-hosted.
Behind Rag is ggozad. Key capabilities include Hybrid Retrieval, Result Reranking, and Multimodal RAG. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
- Hybrid Retrieval
- Result Reranking
- Multimodal RAG
- Document Parsing
- LanceDB Storage
- MCP Server
- Local Deployment
- Self-hosting
Built with & integrations
- local_oss
- bollama in the HTML · bvllm in the HTML · studio in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about Rag
- What does Rag do?
- Rag focuses on searching and retrieving relevant information from local or self-hosted documents across text and multimodal content. It is catalogued under RAG, search & retrieval on PulseGate.
- Who is Rag for?
- Rag is an open-source project built for developers and technical teams building private document search systems.
- Does Rag have a free plan?
- Yes — Rag is open source under the Open Source license and free to use.
- What platforms does Rag run on?
- Rag runs on the web, the command line, and API. It can also be self-hosted.
- Is Rag still maintained?
- Unverified. Rag has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- What are alternatives to Rag?
- Similar projects tracked by PulseGate include Rag, haiku.rag-slim, and RAG Agentic AI.Raghaiku.rag-slimRAG Agentic AI
- Who develops Rag?
- Rag is developed by ggozad.
- Is Rag open source?
- Yes — Rag is open source under the Open Source license.
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