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
- Cycle detection removes same edge multiple times
- Similar functionality between the `DocumentSplitter` and the `RecursiveDocumentSplitter`
- feat: use importlib when deserializing callables
- Importing `FileTypeRouter` imports all converters
- Importing one component of a certain family/module leads to importing all components of the same family/module
- deserialize_callable is not working for local files
- Alloydb Integration
- Simple way to create a ChatMessage from Document content
- Pipeline stuck in loop when a feedback branch is added
- `ChatMessage`: expose `from_openai_dict` and `to_openai_dict` utility functions
- Docs
- Python not yet supported