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: Add tool result pruning compactor
- docs: note OpenAI client base_url for multi-model gateways
- Modernize generator tests
- CSVDocumentSplitter._recursive_split raises RecursionError on some multi-block CSVs with row and column thresholds set
- fix(preprocessors): stop CSVDocumentSplitter recursing forever on multi-block CSVs (#12190)
- Add `FilterBuilder` to make Haystack metadata filters easier to write and read
- Allow Human-in-the-Loop to review fully materialized tool calls
- feat: derive Tool description and parameters from function
- Feature Request: Runtime Verification for MCP Pipelines in Haystack
- Toolset.add() silently drops tools from lazy Toolsets before parent warm-up
- Docs
- Python not yet supported