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: parse list-of-parts content in ChatMessage.from_openai_dict_format
- fix: keep inter-sentence whitespace when a sentence ends with a closing quote
- fix: handle CommonMark fenced code boundaries
- fix: serialize_type / deserialize_type do not support typing.Annotated
- fix: round-trip serialization of typing.Annotated
- fix: keep docstring-only Python chunks valid
- PythonCodeSplitter with strip_docstrings=True emits invalid Python for docstring-only function/method/class bodies
- Add `FilterBuilder` to make Haystack metadata filters easier to write and read
- Allow Human-in-the-Loop to review fully materialized tool calls
- fix: raise a clear error for empty inputs in retrieval and answer evaluators
- Docs
- Python not yet supported