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
- feat: add HAYSTACK_PROGRESS_BARS environment variable support
- feat: Better support for `tools_strict=True` when using the `OpenAIChatGenerator`
- Investigate support for images in `ToolCallResult`
- feat: generate final answer when max_agent_steps reached
- docs: Add docs for Smarter Pipeline Connections
- feat: Add `run_async` methods to `SearchApiWebSearch` and `SerperDevWebSearch`
- Chat generators or Agent should work intelligently around rate limits
- Fix: Update Agent's docstrings
- feat: Added a configurable connection timeout to TikaDocumentConverter
- feat: adding new operations to `InMemoryDocumentStore`
- Docs
- Python not yet supported