Intro to Retrieval Augmented Generation (RAG)
In this guide, we discuss a key concept for working with LLMs: retrieval augmented generation, or RAG.
In this guide, we discuss a key concept for working with LLMs: retrieval augmented generation, or RAG.
In this guide, we'll see how we can use LangChain and Pinecone to build a GPT-3 enabled research assistant that is trained on 50+ machine learning papers.
In this video tutorial, we'll walk through a Colab notebook that shows you how to upload a PDF document and create a factual Q&A assistant based on the text using GPT-3.