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: Copy context when using `ThreadPoolExecutor` in `AsyncPipeline.run_async
- feat: Improve formatting in print streaming chunk
- feat: Update streaming chunk
- feat: add component name and type to `StreamingChunk`
- feat: Add HuggingFace API (text-embeddings-inference for rerank model) for component.rankers
- refactor: Use `SyncStreamingCallbackT` and `AsyncStreamingCallbackT` where possible
- Explore adding support for tool calling in `HuggingFaceAPIChatGenerator` when streaming
- @super_component does not play well with type checkers
- feat: Automate release‑candidate version bump & release‑note guard
- Agent should support prompt caching
- Docs
- Python not yet supported