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: support Pydantic Field in Annotated tool parameters
- feat: add ttl and time_field support to CacheChecker
- Add TTL / expiration support to CacheChecker
- 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
- CSVDocumentCleaner silently removes nonempty NA and NULL strings
- fix: preserve literal NA values in CSVDocumentCleaner
- DocumentJoiner positional weights follow Variadic arrival order, not connect() order
- ConditionalRouter silently coerces string output to another type when output_type is `str | None`
- OutputAdapter silently coerces string output to another type when output_type is a Union including str.
- Docs
- Python not yet supported