Build a Powerful RAG Web Scraper with Ollama and LangChain
Автор: Nariman Codes
Загружено: 2025-01-09
Просмотров: 17340
In this video, we will learn how to create a simple AI web scraper using Python, Ollama, LangChain, and Streamlit. The step-by-step tutorial covers how to build a Retrieval-Augmented Generation (RAG) system to provide large language models (LLMs) with additional context for more accurate and informed responses. This video is perfect for developers looking to combine Python, AI, and tools like LangChain and Streamlit to build powerful LLM-based applications.
You can find the source code here: https://github.com/NarimanN2/ollama-p...
#python #ollama #langchain #llm #streamlit
0:00 Demo
0:58 Introduction
1:45 What Is Ollama?
2:25 Run Ollama Models
3:19 What Is RAG (Retrieval-Augmented Generation)?
4:20 What Is LangChain?
5:07 Project Overview
8:13 Build a RAG using LangChain and Ollama
15:09 Build a Chatbot With Streamlit
19:12 AI Web Scraper In Action
23:10 Conclusion
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