ggozad/haiku.rag
View on GitHub ↗ ★ 656 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
4 mentions on Hacker News by 3 people: 1 story, 3 comments · first 2025-06-24 · latest 2026-01-15
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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? -
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? -
…[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?