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Better Llama with Retrieval Augmented Generation - RAG

James Briggs via YouTube

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Overview

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This tutorial builds a Python RAG pipeline using a Llama 2 13B chat model, open-source embeddings, and a Pinecone vector database, with Hugging Face and LangChain. It compares the resulting RetrievalQA system with Llama 2 alone.

Syllabus

Retrieval Augmented Generation with Llama 2
Python Prerequisites and Llama 2 Access
Retrieval Augmented Generation 101
Creating Embeddings with Open Source
Building Pinecone Vector DB
Creating Embedding Dataset
Initializing Llama 2
Creating the RAG RetrievalQA Component
Comparing Llama 2 vs RAG Llama 2

Taught by

James Briggs

Reviews

4.0 rating, based on 1 Class Central review

Start your review of Better Llama with Retrieval Augmented Generation - RAG

  • Profile image for Deepali Singh
    Deepali Singh
    good for Developers. but helped semi techies too.
    could clearly see diff after RAG addition.
    lot of business use cases possible.
    could clearly see diff after RAG addition.
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