Build RAG Chatbot using Python - Part 1 தமிழ் வழி AI Step-by-Step
Full Playlist Here: • RAG Chatbots: No-Code to Pro with Python &...
00:00 Intro
00:25 Why RAG is in Demand
02:43 Project Setup
04:13 Step 1 - Parse PDF File
06:08 Step 2 - Chunk Data
09:43 Step 3 - Embedding
11:32 Step 4 - Store Vectors in PineCone
14:44 - Next Steps
🚀 Part 1 of our Build a RAG App in Python series is here!
In this video, you’ll learn:
How to read PDF documents in Python
How to chunk text efficiently without losing data
Why chunk size and overlap matter in RAG applications
How to embed text using OpenAI’s embedding models
Preparing data for storage in a Vector Database like Pinecone
By the end of this part, you’ll have clean, chunked, and embedded data — ready for search in your AI app.
🎯 Perfect for beginners and intermediate Python developers who want to build AI-powered apps with Retrieval-Augmented Generation.