danvics/haiku.rag
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions
haiku.rag/haiku_rag_slim
History
Yiorgis Gozadinos 8a4d488a72
Give the MCP server one client for its lifetime 
All ten tool bodies opened their own `HaikuRAG`, so every tool call paid a
connection open and, on object storage, refetched the index the previous call had
just cached. The client is now opened once, lazily so that calling a tool
function directly still works, and eagerly from the lifespan so an unopenable
database fails startup instead of every call. Teardown clears the cached client
in a finally, since `_lifespan_manager` can be re-entered and would otherwise
hand out a closed connection, including when the close itself fails.

`delete_document` no longer opens its own connection with `skip_validation=True`.
Keeping it separate broke consistency once connections became long-lived: the
delete committed on one connection while reads served from another, which with a
30s consistency interval showed the deleted document as still present. A
connection always sees its own writes, so sharing one is what makes delete
visible to the next read.

So the server no longer opts out of embedding-config validation. Drift that
validation rejects now fails MCP startup, where before the server started and
only `delete_document` worked while every read returned empty. Same-dimension
identity drift still starts a read-only server, matching every other read verb.
Delete under drift is now a CLI operation; CLAUDE.md and the CHANGELOG record it.
2026-08-18 14:58:18 +03:00
..
haiku/rag Give the MCP server one client for its lifetime 2026-08-18 14:58:18 +03:00
LICENSE Restructure into uv workspace to support minimal and full installations 2025-11-04 17:59:12 +02:00
pyproject.toml Fix the MCP registry entry and fill in package and docs metadata 2026-08-18 14:37:05 +03:00
README.md Remove the mxbai reranking provider 2026-07-14 11:09:55 +03:00

README.md

haiku.rag-slim

Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling - Core package with minimal dependencies.

haiku.rag-slim is the core package for users who want to install only the dependencies they need. Document processing (docling), and reranker support are all optional extras.

For most users, we recommend installing haiku.rag instead, which includes all features out of the box.

Installation

Python 3.12 or newer required

Minimal Installation

uv pip install haiku.rag-slim

Core functionality with OpenAI/Ollama support, MCP server, and Logfire observability. Document processing (docling) is optional.

With Document Processing

uv pip install haiku.rag-slim[docling]

Adds support for 40+ file formats including PDF, DOCX, HTML, and more.

Available Extras

Document Processing:

  • docling - PDF, DOCX, HTML, and 40+ file formats

Embedding Providers:

  • voyageai - VoyageAI embeddings

Rerankers:

  • cross-encoder - Local reranking via sentence-transformers
  • cohere - Cohere
  • zeroentropy - Zero Entropy

Model Providers:

  • OpenAI/Ollama - included in core (OpenAI-compatible APIs)
  • anthropic - Anthropic Claude
  • groq - Groq
  • google - Google Gemini
  • mistral - Mistral AI
  • bedrock - AWS Bedrock
  • vertexai - Google Vertex AI
# Common combinations
uv pip install haiku.rag-slim[docling,anthropic,cross-encoder]
uv pip install haiku.rag-slim[docling,groq]

Usage

See the main haiku.rag repository for:

  • Quick start guide
  • CLI examples
  • Python API usage
  • MCP server setup

Documentation

Full documentation: https://ggozad.github.io/haiku.rag/