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 new components `QueryEmbeddingRetriever` and `MultiRetriever`
- Investigate addition of a Compaction Tool
- Consider sending whole `State` object to a `Tool` if it's in its function signature
- feat: add GNAP coordinator components for git-native multi-agent coordination
- fix: correct OpenAPIServiceConnector and OpenAPIServiceToFunctions code snippets
- GNAP: git-native coordination for Haystack's multi-agent pipeline workflows
- Docs: Add explanation of RAG pipeline to concepts overview
- Feature: GuardrailProvider interface for automated tool-call policy enforcement
- EU AI Act compliance scan results — Haystack scored #1, wanted to validate findings
- Add Async Document Store Mixin Tests to Avoid Duplicating Test Code in DocumentStore integrations
- Docs
- Python not yet supported