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
- feat: Add EmbeddingCache component to avoid re-embedding identical text
- feat: support token-based budget in LostInTheMiddleRanker
- RFC: Structured Evaluator Uncertainty and Error Semantics
- Proposal: Transaction Protocol for idempotent, auditable agent pipelines
- Add optional retrieval confidence to retriever outputs
- docs: Update Ragas docs
- Use JSX comments for docstrings
- RFC: Signed receipts for Haystack pipeline component calls
- feat: Add GroundednessChecker — runtime groundedness guardrail for RAG pipelines
- Add New `SemanticResolver` component
- Docs
- Python not yet supported