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
- Weird OpenAIDocumentEmbedder exception continue logic.
- Support mixedbread-ai/mxbai-rerank-base-v2 for reranking
- Jinja2-based ComponentTools can't be passed into pipelines at runtime
- Add `parameter` and `description` creation from `create_tool_from_function` into `Tool`
- feat: support rest-style docstrings when loading tools from function
- Pipeline checkpointing
- AsyncPipeline does not pass down Opentelemetry context to the components
- ENV variable to disable progress bar is not working
- Batched inferencing using HuggingfaceLocalGenerator
- Support for o1-like reasoning model (LRMs)
- Docs
- Python not yet supported