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.
============================================
CODE - https://github.com/sunny2309/llamaind...
==============================================
=============================================
Learn Ollama - • Ollama: Run LLMs on your Local Machine for...
Learn Ollama Python Library - • Ollama Python Library: Use LLMs on your Lo...
What is RAG - • RAG (Retrieval Augmented Generation) Expla...
============================================
=======================================================
SUPPORT US - Buy Me Coffee - https://buymeacoffee.com/coderzcolumn
=======================================================
=======================================================
NEWSLETTER - http://eepurl.com/gRW2u9
=======================================================
=======================================================
WEBSITE - https://coderzcolumn.com
=======================================================
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)
#python #datascience #datasciencetutorial #python #pythonprogramming #pythoncode #pythontutorial #llama2 #ollama #rag-llm-tutorial #building-a-rag-application #rag-llm-explained #retrieval-augmented-generation-rag #rag-implementation #rag-llamaindex #how-does-rag-work #llm-rag-example #llamaindex-rag-tutorial #llamaindex-chains #llamaindex-llama-tutorial #llamaindex #llamaindex-llm-app #llamaindex-llama-2 #rag-application-using-llamaindex #rag-application-using-ollama