Step-by-Step Guide to Build RAG App using LlamaIndex | Ollama | Llama-2 | Python

Hi, My name is Sunny Solanki, and in this video, I provide a step-by-step guide to creating a RAG LLM App using the Python framework "llamaindex". To build our LLM app, we have used open-source LLM "llama-2" with 7B parameters. To access LLMs, we use a tool named "Ollama". The tutorial is a good starting point for someone new to LlamaIndex and who wants to learn how to create LLM Apps. It's a good introduction to the RAG concept.

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CODE - https://github.com/sunny2309/llamaind...
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Learn Ollama -    • Ollama: Run LLMs on your Local Machin...  
Learn Ollama Python Library -    • Ollama Python Library: Use LLMs on yo...  
What is RAG -    • Let's Talk about AI Buzzword: RAG |  ...  
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Important Chapters:

0:00 - Build RAG LLM App using LlamaIndex
1:07 - RAG App Workflow
2:24 - Download Ollama & "llama-2 (TB)" Model
3:22 - Bring up Ollama Server
4:19 - Code Explanation
5:11 - Load llama-2 (7B) Model
6:27 - Load External Documents
8:15 - Create Vector Store Index
10:40 - Complete LlamaIndex Retrieval Chain (RAG Pipeline)

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