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1
Intro
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Welcome
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Lesson Goal
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What is RAG?
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What is LangChain?
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Source Code
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OpenAI API Key
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Dependencies
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Frontend Chat Component
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Simple Chat Example
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Ex. 1: LangChain Chat
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Ex. 2: Chat with History
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Ex. 3: Chat with Personality
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Ex. 4a: RAG Pattern Chat with JSON Object
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Ex. 4b: RAG Pattern Chat with JSON file
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Wrap-up
Description:
Learn how to build an AI RAG (Retrieval Augmented Generation) application using LangChain and Next.js in this comprehensive 34-minute tutorial. Explore the fundamentals of RAG and LangChain, set up your development environment with necessary dependencies, and progress through a series of practical examples. Start with a simple chat implementation, then advance to more complex scenarios including chat with history, personality-driven conversations, and RAG pattern chats using JSON objects and files. Gain hands-on experience with OpenAI API integration, frontend chat component development, and the implementation of various LangChain features to enhance your AI application's capabilities.

Building an AI RAG Application with LangChain and Next.js

Dave Gray
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