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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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