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
- Support both callback and generator-based streaming in all Chat Generators
- haystack/components/generators/hugging_face_local.py "stop_words" not behaving as expected
- Add a ranker component that uses an LLM to rerank documents
- Update Document.__eq__ to intelligently compare floats
- OpenAIGenerator uses chat_completions endpoint. Error with model that has no chat_template in config
- Option to enable structured outputs with OpenAI Generators
- PromptBuilder yields huggingface_hub.errors.ValidationError: Input validation error: `inputs` must have less than 4095 tokens. Given: 4701
- Azure / OpenAI rate limit headers
- Add support for `AzureOpenAI` in `LLMEvaluator`
- Streamlit Stream Callback in Haystack 2.x
- Docs
- Python not yet supported