haystack
http://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
- Extend AnswerBuilder to convert only last message for agentic pipelines
- @super_component does not play well with type checkers
- feat: add py.typed; adjust `Component` protocol
- feat: Automate release‑candidate version bump & release‑note guard
- feat: add resource name for Haystack Component Datadog spans
- Agent should support prompt caching
- haystack-ai==2.13.0 missing `py.typed` file, which causes pylance to complain about missing stub file
- Add serialization/deserialization support to `State`
- feat: add support for complex types in component processing
- feat: enable streaming ToolCall/Result from Agent
- Docs
- Python not yet supported