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ggozad/haiku.rag

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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

4 mentions on Hacker News by 3 people: 1 story, 3 comments · first 2025-06-24 · latest 2026-01-15

Mentions per year 4 mentions · busiest year 2025 (3)
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  1. https://github.com/ggozad/haiku.rag/ - the embedded lancedb is convenient and has benchmarks; uses docling. qwen3-embedding:4b, 2560 w/ gpt-oss:20b.
    comment by autogn0me · 2026-01-15 · in Ask HN: How are you doing RAG locally?
  2. What we use: - https://github.com/ggozad/haiku.rag Why? - developer oriented (easy to read Python and uses pydantic-ai) - benchmarks available - docling with advanced citations (on branch) - supports deep research agent - real open source…
    comment by autogn0me · 2025-11-29 · in So you wanna build a local RAG?
  3. …[1] basically https://github.com/roskakori/wolkenlose-ki-fuer-zu-hause/tre... and now i try also https://github.com/ggozad/haiku.rag
    comment by exiguus · 2025-06-25 · in Ask HN: What useful AI tools do you use every day?
  4. ▲ 88
    Retrieval Augmented Generation Based on SQLite
    story by emzo · 2025-06-24 · 10 comments