haystack
https://github.com/deepset-ai/haystack
Python
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited
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- Issues
- Updates to the ChatGenerator protocol
- Add parallelization to our converters if there are noticeable performance gains
- Feature: Post-RAG FactChecker Pipeline Component & Header-Aware Document Splitter
- Feature: behavioral drift monitoring hook at context-engineering boundaries
- docs: add cross-run drift monitoring example using current Tracer interface
- Add parallel component execution to Pipeline using a thread pool executor
- Resolve in-place dataclass mutations across core-integrations
- Governance layer for production Haystack pipelines
- Add governance and audit trail support for AI pipelines
- Add component and pipeline lifecycle cleanup (`close`/`close_async`)
- Docs
- Python not yet supported