Скачать или смотреть Build a RAG Chatbot from Scratch | React, Next.js, AI SDK, AI Elements, Neon, Drizzle, Clerk

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Building a RAG Chatbot from Scratch: A Step-by-Step Guide

In this video, learn how to build a RAG (Retrieval-Augmented Generation) chatbot that can turn any PDF into instant AI knowledge for your company. The video covers everything from setting up a Next.js project with TypeScript and implementing a chat interface to incorporating OpenAI for streaming responses and using Clerk for authentication. It also includes using Neon's serverless Postgres for storing vector embeddings and implementing a search feature with Drizzle ORM. By the end, you'll have a production-ready RAG application capable of real-time document processing and query handling.

00:00 Introduction
01:03 Understanding Retrieval-Augmented Generation (RAG)
02:07 Setting Up the Project
03:33 Creating the AI Chatbot
05:25 Implementing Chat Route Handler
08:00 Building Chatbot UI
16:30 Adding Authentication
22:41 Protecting Routes
25:31 Setting Up the Vector Database
35:11 Embedding Utility
36:56 Chunking Utility
39:38 Creating the Server Action
45:09 Building PDF Upload UI
54:22 Implementing Semantic Search
58:50 Integrating Search Tool for AI
01:05:46 Adding Role-Based Access Control
01:10:27 Next Steps

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