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
- redundant logging statement causes KeyError due to name collision
- feat: Set ByteStream mime_type in LinkContentFetcher, use mime_type exclusive for mime/content type
- chore: Simplify `Pipeline.run` method by moving code to the base class
- LLM-based evaluators shouldn't return `NaN`
- Better support for Tools
- (De-) Serialization is not properly working for NamedEntityExtractor
- LLM-based evaluators not always returning a valid JSON
- Port Haystack v1 DocumentClassifier node to Haystack v2
- feat: add ChatPromptBuilder, deprecate DynamicChatPromptBuilder
- feat: Add `ByteStream` `resolved_mime_type` property
- Docs
- Python not yet supported