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
- WIP: Compaction tool
- [Integration Proposal] WhichModel — real-time model pricing for cost-aware Haystack pipelines
- RFC: Signed receipts for Haystack pipeline component calls
- feat: add support for haystack pipeline benchmarking
- feat: Add GroundednessChecker — runtime groundedness guardrail for RAG pipelines
- feat: add metadata inpsection Tools to support agent-driven document retrieval
- feat: add filter construction skill to help agents build Haystack filters
- feat: support reference ranges in AnswerBuilder (e.g. [6-10])
- Allow more docstrings code snippets to run in the CI
- Add New `SemanticResolver` component
- Docs
- Python not yet supported