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
- Run typing checks on our test files
- Auto creation of input and output mappings could handle conflicts by creating new entries
- More robust `default_from_dict`, `default_to_dict` that handle Secrets, StreamingCallbackT, Tool, Toolset automatically
- Enable/refine reasoning support
- Active Human Involvement in AI Application
- feat: add HAYSTACK_PROGRESS_BARS environment variable support
- Explore adding support for tool calling in `HuggingFaceAPIChatGenerator` when streaming
- Update authorization in OpenSeachDocumentStore example
- Allowing full metadata filtering/search functionality for document stores like Qdrant
- SentenceTransformersTextEmbedder zero embeddings for single text queries when using precision="int8"
- Docs
- Python not yet supported