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
- Components expecting `List[...]` input should use `Iterable[...]` instead
- OpenAI's Batch API Support
- Update Document.__eq__ to intelligently compare floats
- OpenAIGenerator uses chat_completions endpoint. Error with model that has no chat_template in config
- feat: support bi-encoder models in TransformerSimilarityRanker
- PromptBuilder yields huggingface_hub.errors.ValidationError: Input validation error: `inputs` must have less than 4095 tokens. Given: 4701
- Azure / OpenAI rate limit headers
- Handle errors separately in evaluators and the run results
- Support gRPC interface of TEI
- Provide relevant schema of pipeline serialization
- Docs
- Python not yet supported