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
- XLSXToDocument and PPTXToDocument do not include hyperlinks addresses in their output
- SentenceTransformersTextEmbedder zero embeddings for single text queries when using precision="int8"
- Enable grouping of pipelines via Sub-pipelines
- Support ReST-style docstrings when loading tools from function
- Add `to_code` utility method to SuperComponent
- Add `parameter` and `description` creation from `create_tool_from_function` into `Tool`
- feat: support rest-style docstrings when loading tools from function
- Pipeline breakpoints
- AsyncPipeline.run does not work in a notebook environment
- Consider emitting a warning that a document ID is not re-created when a document attribute is updated
- Docs
- Python not yet supported