Build a RAG System for Web Data with LangChain and Llama 3.1
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Build a powerful Retrieval-Augmented Generation (RAG) system for web data using LangChain and Llama 3.1. Master data extraction, generation, and AI-powered insights from online resources.
At a Glance
Build a Retrieval-Augmented Generation (RAG) system for web data using LangChain and Llama 3.1-405b on watsonx.ai. In this guided project, you will set up the environment and configure LangChain to build a RAG system that generates real-time, context-aware responses from web data. This guided project is perfect for Python developers and data scientists looking to enhance their AI and language modeling skills in dynamic information retrieval.
What you’ll learn
What you’ll need
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