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RAG Explained: What Is Retrieval-Augmented Generation?

How To Buy Saas

Retrieval-Augmented Generation (RAG) is a cutting-edge approach in AI that combines large language models (LLMs) with real-time information retrieval to produce more accurate and context-aware outputs. Industry leaders have quickly embraced RAG as a way to build more intelligent AI applications. and real SaaS examples using RAG.

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Top Product Management Tools for Your Stack (2025)

User Pilot

Data Residency Options Choose where your data is stored for compliance with regional laws. AI-Powered Analysis Automatically transcribe, summarize, and highlight key moments in qualitative data using AI. Advanced Search & Filtering Quickly locate specific data points or themes using robust search and filter options.

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A Technical Deep Dive Into Building AI Products for the Enterprise with Contextual AI’s CEO Douwe Kiela

SaaStr

At SaaStr AI Day, Contextual AI’s CEO, Douwe Kiela, deep dives into what it takes to build AI products for the Enterprise. Staleness and compliance — language models must be up-to-date, compliant with regulations, and able to be revised on the fly without having to retrain the entire thing every time.

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