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
- docs(linkcontentfetcher): add defence-in-depth SSRF mitigation recipe
- Cache tool results inside Agent loops (avoid duplicate identical tool calls)
- Unify request-scoped state in a single PipelineRunContext (extends #11366)
- Native `map` / fan-out component for iterating a sub-pipeline over a list with aggregation
- fix: raise ValueError for reversed page ranges in expand_page_range
- 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
- Python not yet supported