Crawl the Web with RAG: ChromaDB, Ollama & LlamaIndex in Action

Автор: Sophia Iroegbu

Загружено: 2025-09-29

Просмотров: 221

Описание:

Hey guys, welcome to another AI video!

In this video, you will learn how to build a Retrieval-Augmented Generation (RAG) web crawler from scratch using ChromaDB, Ollama, and LlamaIndex. We’ll walk through crawling websites, storing data in a vector database, and hooking it all up to LLMs for smart, context-aware answers. Perfect for devs who want to move beyond toy AI demos and build real-world knowledge pipelines.

📌 What you’ll learn in this video:
00:00 Intro
00:54 How does LlamaIndex work?
08:16 Building the RAG solution
21:54 Testing our RAG pipeline
26:00 Outro

💻 Resources & Links:
How to build AI Agents in Python: • How to Build AI Agents with Python | CrewA...
Ollama models list: https://ollama.com/library
Source code: https://github.com/Sophyia7/ai-agents...

If this video helped you, don’t forget to like, subscribe, and share. It really helps more developers discover how to build with LllamaIndex locally!

#ai #coding #llm #localai #ollama #python #llamaindex

Crawl the Web with RAG: ChromaDB, Ollama & LlamaIndex in Action

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