haiku.rag
Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling
Haiku RAG combines the power of LanceDB, Pydantic AI, and Docling to provide a hybrid search experience that integrates vector and full-text search capabilities. It supports complex question answering with citations and allows for multi-agent workflows that can plan, search, evaluate, and synthesize information effectively. The server also features a conversational interface for multi-turn interactions, ensuring a seamless user experience. In addition to its robust search and question answering functionalities, Haiku RAG offers tools for visual grounding, document structure awareness, and file monitoring to keep data up-to-date. With local-first architecture and support for various cloud providers, it ensures flexibility and ease of use. The MCP server exposes its capabilities for integration with AI assistants, making it a versatile tool for developers and researchers alike.
Compatible with
Install
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"haiku-rag": {
"args": [
"haiku-rag"
],
"command": "uvx"
}
}
}Config File Location
Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/claude/claude_desktop_config.json
Some servers require additional setup - check the GitHub README for specific instructions.
Permissions