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: accept dict tool arguments in ChatMessage.from_openai_dict_format
- CSVDocumentCleaner deletes a row that says N/A, and both CSV components empty those cells
- fix: drain sibling tasks when an async tool is cancelled
- fix: skip non-string MIME metadata in DocumentTypeRouter
- RecursiveDocumentSplitter split_idx_start is off by the trailing separator with split_unit="word" and split_overlap > 0
- JsonSchemaValidator raises IndexError for an empty message list
- CSVDocumentCleaner silently removes nonempty NA and NULL strings
- fix: preserve literal NA values in CSVDocumentCleaner
- fix(evaluators): raise ValueError on empty input lists
- fix: keep Agent tools when generation_kwargs includes client tools
- Docs
- Python not yet supported