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Yiorgis Gozadinos 629e1ba4ea
Split the store module by responsibility 
engine.py held four unrelated things: what the tables are, how to open a
connection, how to read a database's state, and the Store that coordinates
writes. At 1240 lines the Store's own concerns — locks, migrations, vacuum,
tags — were hard to find among them.

Table records, Arrow schemas, index_specs, ensure_indexes, REQUIRED_TABLES
and query_to_pydantic move to store/schema.py, which imports nothing from
haiku.rag: it describes the tables and never opens or mutates one.

gather_database_info, get_database_stats, DatabaseInfo and its result models
move to store/info.py. Nothing in Store calls them — they are read paths for
the CLI, doctor, inspector and ingester API — so info depends on engine and
not the reverse.

engine.py keeps the Store, ConnectionMode, connect_lancedb, the tag helpers
and the restore-order and retention constants. No re-exports: importers
point at the new modules.

test_app_info_uses_connect_lancedb_for_remote patched
haiku.rag.store.engine.connect_lancedb; gather_database_info now binds that
name in info.py, so the patch targets where the call is looked up.
2026-08-20 12:13:51 +03:00
..
haiku/rag Split the store module by responsibility 2026-08-20 12:13:51 +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/