Explore seven essential concepts of LangChain in this comprehensive tutorial video. Learn about Schema, Models, Prompts, Indexes, Memory, Chains, and Agents through practical examples and explanations. Discover how to work with different types of data, utilize language and chat models, create effective prompts, manage document indexing, implement chat history, build simple and summarization chains, and leverage agent toolkits. Gain valuable insights into LangChain's capabilities and how to apply them in your projects.
Overview
Syllabus
- Introduction
- Conceptual Docs
- Cookbook introduction
- What is LangChain?
- Schema Text, Messages, Documents
- Models Language, Chat, Embeddings
- Prompts Template, Examples, Output Parse
- Indexes Loaders, Splitters, Retrievers, Vectorstores
- Memory Chat History
- Chains Simple, Summarize
- Agents Toolkits, Agents
Taught by
Data Independent
