In this video, we’ll build a full ChatPDF clone from scratch using Next.js 16, React, and modern AI tools.
You’ll learn how real-world AI SaaS products like ChatPDF work under the hood — from PDF ingestion to Retrieval-Augmented Generation (RAG), embeddings, and chat-based document querying.
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🚀 What You’ll Build
Upload and parse PDF documents
Convert PDFs into embeddings
Store and retrieve data using a vector database
Chat with PDFs using an LLM
Build a scalable AI chat interface
Structure a real-world Next.js 16 AI project
What You’ll Learn
Next.js 16 App Router fundamentals
Building RAG systems for PDF chat
Prompt engineering for document retrieval
AI search & semantic retrieval
Full-stack AI SaaS architecture
How ChatPDF-style products actually work
🛠️ Tech Stack
Next.js 16
React
TypeScript
OpenAI / LLM APIs
Vector Database (Pinecone / Supabase / Weaviate)
Tailwind CSS
Why This Matters in 2026
Chat-based document AI is one of the most profitable AI SaaS categories.
Understanding how to build a ChatPDF clone gives you a foundation for legal AI, recruiting AI, research tools, and internal knowledge systems.
TimesCode
0:00 - APP demo ChatPDF
03:42 - Advance Retrieving Techniques
24:50 - Multi-Agent System