Build a RAG Chatbot using Python (Part 2) - AI தமிழ்

Watch Part 1 Here: https://youtu.be/UVny4YOVTfE

Full Playlist here: https://www.youtube.com/playlist?list=PLN6lWsI6DyWSMzA5i0LHCeolu3UDHImBA

Build a Resume Screening App: https://youtu.be/6ynx0FYOYDQ

00:00 Intro
00:36 Part 1 - Recap
01:10 Overview of Steps Involved
02:09 Step 1 - Embed User's Query
02:50 Step 2 - Semantic Search
03:44 Step 3 - Generate LLM Response
06:12 Next Steps

In this video, we continue our RAG Chatbot using Python series.
👉 Part 1 covered Data Preparation (chunking, embeddings, and vector DB).
👉 Part 2 focuses on the Chatbot Building step — where we connect our data, use an LLM, and create a fully working chatbot.

This tutorial is explained step by step in Tamil, making it easy for beginners and developers to follow. Perfect if you want to build your own RAG-based chatbot for HR, Finance, or any domain.

📌 What you’ll learn in Part 2:

How to connect embeddings with an LLM

How to build the chatbot layer in Python

Real-world chatbot workflow explained clearly in Tamil

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