LangChain Tutorial for Generative AI

Discover the power of LangChain for seamlessly integrating AI tools in this comprehensive 35-minute video tutorial. Explore key features, installation processes, essential components, and core concepts of LangChain. Gain insights into real-world applications through case studies, and learn how to leverage this technology for advanced AI-driven communication. Master the basics, advanced strategies, and practical implementations to stay at the forefront of AI development. Dive into topics such as chains, agents, memory, prompts, models, tools, and data loaders. Follow along with hands-on demonstrations, including library installation and LangChain app execution. By the end, acquire a solid understanding of Python LangChain and its potential to revolutionize AI integration.

- Introduction to LangChain
- Agenda of LangChain
- Introduction to LangChain
- Why LangChain?
- Development Environment Setup of LangChain
- Demo on Library Installation
- LangChain Core Concepts
- Chain
- Agents
- Memory
- LangChain Components
- Prompts
- Models
- Tools
- Data Loaders
- LangChain Case Study
- Add LangChain App
- LangChain App Execution
- Summary of Python LangChain