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
- fix: preserve string outputs when ConditionalRouter output_type is a Union including str.
- fix(routers): recognize str in Union output_type before literal_eval
- [HTTPXodus] Consider migrating from `httpx` to `httpx2` (the actively maintained fork)
- [HTTPXodus] migrate httpx to httpx2 (hard switch; closes #12593)
- ChatMessage.from_openai_dict_format silently collapses OpenAI's 'developer' role into 'system'
- 4 of 5 Document*Evaluators crash with ZeroDivisionError on empty input
- CacheChecker.run issues one filter_documents call per item (N+1 query pattern)
- Feature: optional EverOS long-term memory integration
- feat: add tool result offload compactor
- ChatMessage.from_openai_dict_format wraps list-of-parts content in TextContent, breaking msg.text contract
- Docs
- Python not yet supported