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Yiorgis Gozadinos 7f54eb4dbc
Measure the CLI and its application layer 
cli.py carried 40 pragmas over whole command bodies and app.py a
class-level one over all 412 statements, while tests/test_cli.py already
drove 29 commands through CliRunner. The pragmas hid lines the suite
executed, so the 100% gate understated real coverage and gave new CLI code
no scrutiny.

Both are measured now. 38 CLI tests stub HaikuRAGApp and assert the parsed
arguments reach the right method; 60 app tests stub the client and record
the console, pinning what each command asks for and what it prints. The only
pragma left in either file is cli() under __main__. The omit list is back to
the two Textual TUIs.

Three defects the coverage surfaced:

haiku-rag settings masked only top-level secret-named fields, so nested ones
printed in full — lancedb.api_key, providers.docling_serve.api_key, WebDAV
source passwords. It uses redact_secrets, which walks the dump.

chat guarded the wrong thing: haiku.rag.chat imports without Textual, and
run_chat raises when it imports ChatApp, so the missing extra escaped as an
ImportError. The guard is on the call. inspector raises at module import
instead, so inspect keeps its guard on the import; each has a test that
fails the way the real installation fails.

search --limit/--search-type and history --limit default to None so the
config resolves the default. Now pinned.

CI passed --cov=haiku while pyproject declares source = ["haiku_rag_slim"];
pass --cov and let the config decide. build-docs.yml only ran on push to
main, so a broken docs build merged and failed at deploy: build on pull
requests, with configure-pages, upload-pages-artifact and deploy gated to
push, and a per-ref concurrency group.
2026-08-20 13:23:00 +03:00
..
haiku/rag Measure the CLI and its application layer 2026-08-20 13:23:00 +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/