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Chris McDonough 1bf2505093
Improve test coverage for cli, filter, registry, and migrations 
These files were not touched by the recent performance and
correctness PRs but had coverage gaps. Adds tests for:

- CLI: serve, queue init/migrate, config loading, cli() entry point
  including MigrationRequiredError exit path
- filter: _default_supported_extensions, __call__ watchfiles callback,
  FileFilter with supported_extensions=None
- registry: resolve_adhoc_fetcher with bucket-less S3 URI
- migrations: pragma no-cover on unreachable schema upgrade path
  (no diff migrations exist until SCHEMA_VERSION > 1)
2026-06-01 18:00:47 +03:00
..
haiku/rag Improve test coverage for cli, filter, registry, and migrations 2026-06-01 18:00:47 +03:00
LICENSE
pyproject.toml vb 2026-05-29 11:47:12 +03:00
README.md

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:

  • mxbai - MixedBread AI
  • 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,mxbai]
uv pip install haiku.rag-slim[docling,groq,logfire]

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/