by ggozad · MCP Server · ★ 537
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling
| Stars | 537 |
| Forks | 36 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 36.75/100 |
| Open Issues | 4 |
| Last Updated | 2026-06-09 |
| Created | 2024-10-13 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~2677k |
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haiku.rag is Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling. It is categorized as a MCP Server with 537 GitHub stars.
haiku.rag is primarily written in Python. It covers topics such as ai, docling, lancedb.
You can find installation instructions and usage details in the haiku.rag GitHub repository at github.com/ggozad/haiku.rag. The project has 537 stars and 36 forks, indicating an active community.
haiku.rag is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to haiku.rag on Agent Skills Hub include octocode, code-graph-rag, airbyte-agent-connectors. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.