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: draw/show SuperComponents in detail, expand it and show it's internal components in the visualisation diagram
- refactor: Use `SyncStreamingCallbackT` and `AsyncStreamingCallbackT` where possible
- feat: return common type in SuperComponent type compatibility check
- Explore adding support for tool calling in `HuggingFaceAPIChatGenerator` when streaming
- feat: add serialization to `State` / move `State` to agents.state
- Extend AnswerBuilder to convert only last message for agentic pipelines
- @super_component does not play well with type checkers
- feat: Automate release‑candidate version bump & release‑note guard
- Agent should support prompt caching
- Add serialization/deserialization support to `State`
- Docs
- Python not yet supported