RAG using LlamaIndex || Step-by-Step guide to building RAG using Open Source Llama2/Phi3 LLM

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In this video, we'll walk you through building a simple and effective Retrieval-Augmented Generation (RAG) pipeline using open-source language models like Llama2 and Phi3.

Leveraging the power of LlamaIndex, we'll demonstrate how to seamlessly integrate these models into a cohesive pipeline that enhances your data retrieval and generation capabilities.

Here's what we'll cover:

* Introduction to RAG pipelines and their importance
* Setting up your development environment
* Step-by-step guide to building the RAG pipeline using LlamaIndex

By the end of this video, you'll have a solid understanding of how to create and deploy your own RAG pipeline, boosting the efficiency and accuracy of your data processing tasks.

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Good work bro also make a detailed video on Chatbot using RAG

sudhanshukumarsingh

can you share the link of the colab file

shreyasatyakam

Thank you for sharing. But the notebook isn't available in your GitHub

Pingu_astrocat

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