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
- some PATCH releases are not showing on the website
- test: Fix telemetry tests so they don't fail
- LLM-based evaluators stoping conditions and valid JSON
- Make use of the `seed` parameter in the LLM-based evaluators using the OpenAI API
- Create proposal for agent memory to get feedback on API level
- test: Group up Pipeline unit tests in a single class
- `HTMLToDocument` - remove deprecated init parameters
- feat: allow DocumentJoiner to accept top_k parameter in run method
- feat: Add options for what to do with missing metadata fields in `MetaFieldRanker`
- DocumentJoiner component's run method doesn't accept a top_k value
- Docs
- Python not yet supported