Build Your Own RAG Chatbot | Python, LangChain, Streamlit ,Pinecone
Автор: code watch
Загружено: 2026-01-01
Просмотров: 73
Want to build your own AI chatbot that can read and answer questions from your own PDF files? In this video, I will teach you how to build a Retrieval-Augmented Generation (RAG) application from scratch using Python!
We will use the power of LangChain, OpenAI, Pinecone (Vector Database), and Streamlit to create a fully functional "Chat with PDF" app. This is the #1 skill every Python developer needs to learn in 2026.
🔥 What you will learn in this video: ✅ How to process and split PDF documents for AI. ✅ How to create Embeddings using OpenAI. ✅ Storing data in Pinecone Vector Database. ✅ Building a clean Chat Interface with Streamlit. ✅ Connecting everything with LangChain.
#Python #LangChain #RAG #ArtificialIntelligence #MachineLearning #Streamlit #Pinecone #OpenAI #Chatbot #TamilTech #Coding #WebDevelopment#python #retrievalaugmentedgeneration #chatbot #streamlit #pinecone #langchain#ragtamil# rag tamil
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