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: Better support for `tools_strict=True` when using the `OpenAIChatGenerator`
- Flaky tests in Haystack test suite
- Add pipeline breakpoint support for the internals of SuperComponent
- Explore adding support for tool calling in `HuggingFaceAPIChatGenerator` when streaming
- Update authorization in OpenSeachDocumentStore example
- feat: Enhance Component registry to update with init and support shortened import paths
- Allowing full metadata filtering/search functionality for document stores like Qdrant
- `Pipeline.draw` timeouts
- SentenceTransformersTextEmbedder zero embeddings for single text queries when using precision="int8"
- Enable grouping of pipelines via Sub-pipelines
- Docs
- Python not yet supported