Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Python RAG Tutorial - AI for PDFs with Local LLMs

pixegami via YouTube

Overview

Build a Retrieval Augmented Generation (RAG) application in Python to query and chat with PDF documents using generative AI. Explore advanced topics including local RAG implementation with Ollama, vector database updates, PDF integration, and AI response quality testing. Follow along with code examples and learn how to load PDF data, generate embeddings, store and update information, run RAG locally, and implement unit tests for AI output. Access the GitHub repository for the complete project and dive into additional resources on document loaders, PDF handling, and Ollama integration.

Syllabus

Introduction
RAG Recap
Loading PDF Data
Generate Embeddings
How To Store and Update Data
Updating Database
Running RAG Locally
Unit Testing AI Output
Wrapping Up

Taught by

pixegami

Reviews

Start your review of Python RAG Tutorial - AI for PDFs with Local LLMs

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.