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
- feat: support runtime progress bar overrides
- CSVToDocument accepts an unsupported conversion_mode and silently converts in row mode
- fix: align unique metadata counts with type-aware values API
- PPTXToDocument drops soft line breaks when link_format is markdown or plain
- fix: reject an unsupported conversion_mode in CSVToDocument
- JsonSchemaValidator rejects valid arrays and skips constraints on empty arrays
- InMemoryDocumentStore: count_unique_metadata_by_filter and get_metadata_field_unique_values disagree on int/float/bool values
- fix: CSVToDocument row mode handles CR-separated CSV input
- CSVToDocument row mode fails on CR-separated CSV input
- CSVToDocument row mode drops a real extra_columns field on ragged rows
- Docs
- Python not yet supported