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
- Parallel LLM Support for maximal GPU Usage
- feat: support bi-encoder models in TransformerSimilarityRanker
- unknown variant `function`, expected one of `system`, `user`, `assistant`, `tool`
- PromptBuilder yields huggingface_hub.errors.ValidationError: Input validation error: `inputs` must have less than 4095 tokens. Given: 4701
- deleted pydocs are not being erased from readme
- Azure / OpenAI rate limit headers
- Automatically add release notes to Haystack website
- Validated and hardened OPEA examples using Haystack
- feat: Enhance DocumentSplitter to support semantic document splitting
- UI Haystack almost no code solution
- Docs
- Python not yet supported