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
- Enhancement: Add per-query missing-document diagnostics to DocumentRecallEvaluator
- fix: drain document tasks when asynchronous embedding splitting fails
- perf: avoid repeated vocabulary scans in BM25Okapi
- Pyrefly strict mode rejects Haystack components
- Add a converter for SRT and WebVTT subtitle files
- feat: Add a ToolBudgetHook to cap per-tool calls in an Agent run
- fix: complete partial dates to start of period in range filters
- fix: handle annotated ChatMessage lists in ComponentTool
- In-memory filter evaluation of 'in'/'not in' on list-valued meta fields diverges from OpenSearch/Elasticsearch terms semantics
- fix: avoid repeated text after contained sentence chunks
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