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
- Ollama - use `reasoning` field in `StreamingChunk`
- Update Breakpoint docs to include info on `snapshot_callback` and env variable `HAYSTACK_PIPELINE_SNAPSHOT_SAVE_ENABLED`
- Update Pipeline Serialization docs to include what objects can be auto-serialized
- Remove mention of Marqo Document Store since it's been taken offline
- Auto creation of input and output mappings could handle conflicts by creating new entries
- `_SuperComponent` always define `run_async` even when the underlying Pipeline is sync
- Async tool not awaited
- Use new `reasoning` field in `StreamingChunk` for Chat Generators that support streaming
- Study reno and investigate improvements to the release process
- Chatbot for docs
- Docs
- Python not yet supported