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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. Think of a standard LLM as a very smart student who has learned a lot of general information.

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Escheatment Solutions in 2025: Streamlining Return of Funds

USIO

Fraud Prevention : Real-time risk models use machine learning to flag suspicious activity before payments go out. Real-Time Execution : Funds move instantly and securely, with full traceability. Full Transparency : Track every action, generate audit-ready reports, and give customers access to payment history.

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Top tech trends for 2025: An AI revolution

Panintelligence

2024 was a challenging year, and there are no two ways to go about it. The last couple of years have seen mass adoption, with a McKinsey survey showing that AI adoption jumped to 72% in 2024, compared to a slow climb from 50% over the previous six years. Trust and security underpin Panintelligence's adoption of AI.

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

SaaStr

If you work on anything related to Artificial Intelligence , you know we’re in the age of language models. But when it comes to Enterprises specifically, language models can change the way we work, and they have very big issues. There’s no Machine Learning happening here, just off-the-shelf components.

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