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RAG

aiadvanced

Retrieval Augmented Generation (RAG) is a way to make LLMs like GPT-4 more accurate and personalized to your specific data. LLMs are powerful as hell, but they’re also generic: they’re trained on all data on the internet ever! RAG helps you get more personalized responses tailored to your data by embedding your data in your model prompts.

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What is RAG?

Retrieval Augmented Generation is a way to make AI models more personalized

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Mentioned in

Why do developers choose different types of databases?

An intro to how companies like Elastic, MongoDB, Snowflake, Confluent and AWS compete.

Category Breakdowndatabases
What's a vector database?

A vector database is a place where developers store specially formatted data to use for machine learning and AI.

Foundationalai

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