Tired of complex RAG systems that fail to deliver? Memory RAG boosts accuracy while keeping things simple.
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This whitepaper introduces Memory RAG, a novel approach to Retrieval Augmented Generation (RAG) that leverages embed-time compute during embedding generation to create more intelligent, validated data representations.

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In this whitepaper, you will learn:

• How Memory RAG uses embed-time compute to transform raw data into rich representations that reduce retrieval misses and model hallucinations, while requiring smaller context windows.
• How to build highly accurate RAG mini-agents using our simplified API.
• Real results from Fortune 500 company data showing Memory RAG achieving 91-95% accuracy compared to 20-59% for RAG on GPT4.
• How to apply Memory RAG to Factual Reasoning and Text-to-SQL use cases.

Download the whitepaper to learn more. To try it for free, sign up and get $300 in credit.