Agentic AI Crash Course using LangChain | LangChain Crash Course

Welcome to this crash course on agentic Welcome to this crash course on agentic Welcome to this crash course on agentic AI and LangChain. Here are the list of AI and LangChain. Here are the list of topics that we are going to cover in topics that we are going to cover in topics that we are going to cover in this video. And in terms of technology this video. And in terms of technology this video. And in terms of technology stack, here are the list of tools and stack, here are the list of tools and stack, here are the list of tools and frameworks that we'll be using frameworks that we'll be using frameworks that we'll be using throughout the video. We will not just throughout the video. We will not just throughout the video. We will not just discuss theory behind generative AI and discuss theory behind generative AI and discuss theory behind generative AI and agentic AI, agentic AI, agentic AI, >> [music] >> [music] >> [music] >> but we will do lots of hands-on coding. >> but we will do lots of hands-on coding. >> but we will do lots of hands-on coding. So, make sure you have your code editor So, make sure you have your code editor So, make sure you have your code editor open with you and you are practicing open with you and you are practicing open with you and you are practicing along with me. At the end, we are going At the end, we are going At the end, we are going to build two solid projects. The first to build two solid projects. The first to build two solid projects. The first one is a shopping agent, which is one is a shopping agent, which is one is a shopping agent, which is similar to Amazon's Rufus AI, where you similar to Amazon's Rufus AI, where you similar to Amazon's Rufus AI, where you search through products, you place an search through products, you place an search through products, you place an order. You can also search through order. You can also search through order. You can also search through products using an image, where we will products using an image, where we will products using an image, where we will use the multimodal AI. This will be This will be completely end-to-end project that will completely end-to-end project that will completely end-to-end project that will look pretty good on your resume. The look pretty good on your resume. The look pretty good on your resume. The second project is building telecom rag second project is building telecom rag second project is building telecom rag chatbot, where as a knowledge source, we chatbot, where as a knowledge source, we chatbot, where as a knowledge source, we will be using three different sources, will be using three different sources, will be using three different sources, CSV file, SQLite database, and PDF. CSV file, SQLite database, and PDF. CSV file, SQLite database, and PDF. We'll cover chunking strategies and lot We'll cover chunking strategies and lot We'll cover chunking strategies and lot of important concepts for rag and of important concepts for rag and of important concepts for rag and complete building this entire project. complete building this entire project. complete building this entire project. We'll use Streamlit as a UI in both of We'll use Streamlit as a UI in both of We'll use Streamlit as a UI in both of these projects.