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 a per-run store via hook_context in ToolResultOffloadCompactor
- fix(pptx): keep soft line breaks with markdown and plain link formats
- fix: pass token instead of use_auth_token in SASEvaluator.warm_up
- DocumentSplitter token mode ignores skip_empty_documents for Unicode token slices
- fix: skip empty Unicode token slices in DocumentSplitter
- fix: only remove repeated headers/footers at page start/end in DocumentCleaner
- DOCXToDocument drops the paragraphs and tables inside block-level content controls (w:sdt)
- fix: read content controls in DOCXToDocument
- DocumentCleaner(remove_repeated_substrings=True) removes body text that isn't at the start or end of the page
- fix: recognize tabs after Markdown header prefixes
- Docs
- Python not yet supported