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
- Discourage users from modifying inputs in place
- Consider freezing our dataclasses using `@dataclass(frozen=True)` to avoid in-place modification
- Make pipelines less complex
- Feedback on naming of Tool parameters
- Feature Request: `pipeline.run()` Progress Bar
- Add another way to specify "unsafe" type routing without jinja to ConditionalRouter
- Add support for Pipeline breakpointing in `AsyncPipeline`
- Investigate `__hash__` implementation for `Document`, `Socket`, and `PipelineBase`
- Follow-Up: Schema-Based Serialization Improvements
- Handle Document ids consistently and enable custom `id_hash_keys`
- Docs
- Python not yet supported