Launching today

rag_control

Launching today

Runtime governance and policy controls for RAG systems

7 followers

Runtime governance and policy controls for RAG systems

7 followers

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A Python control layer for governing RAG applications at runtime. Define generation policies, filter retrieval by document metadata and user context, apply organization-level rules, and inspect decisions with audit logs, traces, and metrics. Works with your existing LLM and vector-store adapters. Built by RetrievalLabs, which is making enterprise software development end-to-end AI-native.

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Launch tags:Developer Tools•GitHub

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Hi Product Hunt! rag_control helps teams add runtime governance to RAG applications without replacing their LLM or vector-store adapters. It covers generation policies, retrieval filters, organization-level rules, and auditability. Start here: https://github.com/RetrievalLabs... Docs: https://rag-control.retrievallab... RetrievalLabs is making enterprise software development end-to-end AI-native. Follow the team on LinkedIn: https://www.linkedin.com/company... Learn more: https://retrievallabs.org/ I’d love to hear how you’re managing policy enforcement and data access in RAG applications.

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1d ago

Impossibly Dope Innovations

hey yash, congrats on the launch! we're launching benson today too: https://www.producthunt.com/products/benson-2. hope it's going well.

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8h ago