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
- [Bug] NamedEntityExtractor (spaCy) fails to restore device state after execution
- [Feature] Native support for hybrid retrieval scoring fusion
- fix: recursively apply strict schema constraints for tools_strict=True
- Add Perplexity websearch component
- feat: cap fetched body size in LinkContentFetcher
- refactor: contain image converter file paths within root_path
- refactor: restrict OpenAPI $ref resolution to in-document pointers
- feat: support reference ranges in AnswerBuilder (e.g. [1-3])
- refactor!: Remove `user_prompt` and `system_prompt` from `Agent.run`
- refactor!: Remove agent breakpoint and agent snapshot
- Docs
- Python not yet supported