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
- Align naming of hatch scripts across our repos
- feat: adding `deserialize_component_inplace()`
- Standardize streaming tool call & tool result format across LLM providers
- feat: Add async streaming support in `HuggingFaceLocalChatGenerator`
- feat: Update streaming chunk
- Explore adding support for tool calling in `HuggingFaceAPIChatGenerator` when streaming
- feat: Automate release‑candidate version bump & release‑note guard
- Agent should support prompt caching
- Weird OpenAIDocumentEmbedder exception continue logic.
- Add `parameter` and `description` creation from `create_tool_from_function` into `Tool`
- Docs
- Python not yet supported