haiku.rag

by ggozad · MCP Server · ★ 527

About haiku.rag

Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling

aidoclinglancedbmcpmcp-servermlpydantic-airag

Quick Facts

Stars527
Forks36
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score36.75/100
Open Issues2
Last Updated2026-05-21
Created2024-10-13
Platformscli, mcp, python
Est. Tokens~2527k

Compatible Skills

These tools work well together with haiku.rag for enhanced workflows:

  • logfire — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • custom-agent-with-skills — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (55%)
  • pydantic-ai-todo — semantic(0.36)+complementary+rare_topics+same_lang+shared_platform (52%)
  • modelsmith — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
  • pydantic-ai-middleware — semantic(0.29)+complementary+rare_topics+same_lang+shared_platform (50%)

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Frequently Asked Questions

What is haiku.rag?

haiku.rag is Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling. It is categorized as a MCP Server with 527 GitHub stars.

What programming language is haiku.rag written in?

haiku.rag is primarily written in Python. It covers topics such as ai, docling, lancedb.

How do I install or use haiku.rag?

You can find installation instructions and usage details in the haiku.rag GitHub repository at github.com/ggozad/haiku.rag. The project has 527 stars and 36 forks, indicating an active community.

What license does haiku.rag use?

haiku.rag is released under the MIT license, making it free to use and modify according to the license terms.

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