Guide

File search (OpenAI API)

OpenAI · developers.openai.com

The quickest hosted RAG: upload files to a vector store and let the model search them, with no database of your own.

The question it answers

  1. What is RAG in AI?

Read with it

  1. The paper that named RAG: a model paired with a retriever over a document index, answering more factually than the model alone. arxiv.org Article Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Patrick Lewis et al.
  2. A plain explainer of how retrieval, augmentation and generation fit, and why RAG is cheaper than retraining a model. aws.amazon.com Article What is RAG? AWS
  3. Anthropic's measured fix for the weak step in RAG: contextual chunks cut failed retrievals by 49%, and by 67% with reranking. anthropic.com Article Introducing Contextual Retrieval Anthropic
  4. Video What is Retrieval-Augmented Generation (RAG)? IBM Technology
  5. Google's explainer, including when RAG beats fine-tuning and how grounding reduces made-up answers. cloud.google.com Article What is retrieval-augmented generation? Google Cloud
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