LangChain: Chat with Your Data

What You'll Learn

• Learn directly from LangChain creator, Harrison Chase.
• Access over 80 unique loaders for handling data from diverse sources using LangChain.
• Build your own chatbot to interact directly with information from your documents and data.

About This Course

Join our new short course, LangChain: Chat With Your Data! This course dives into Retrieval Augmented Generation (RAG) and walks you through building a chatbot that responds to queries based on your own documents.

• Understand the fundamentals of data loading and access over 80 loaders for different data types.
• Learn best practices for document splitting and handling large datasets.
• Explore vector stores and embeddings within LangChain for efficient data retrieval.
• Implement retrieval techniques to access indexed data and enhance query relevance.
• Create a one-pass question-answering solution and integrate it with a chatbot.
• Learn how to track conversations, select relevant data, and build a chatbot using LangChain.

Course Outline

• Introduction
  Overview of LangChain, RAG, and their applications in chatbot development.
• Document Loading
  Learn how to load data from various sources using LangChain’s built-in loaders, with code examples.
• Document Splitting
  Best practices for document splitting to manage large datasets efficiently, with hands-on code examples.
• Vector Stores and Embedding
  Dive into embeddings and integrate vector stores to manage data within LangChain.
• Retrieval
  Techniques for retrieving indexed data from vector stores and accessing relevant information.
• Question Answering
  Build a solution for direct question-answering based on document content, with code examples.
• Chat
  Develop a chatbot using LangChain that tracks conversations and provides answers from document-based data.
• Conclusion
  Summary of key learnings and next steps for developing advanced applications with LangChain.

Who Should Join?

This course is designed for developers familiar with Python who want to create applications using Large Language Models like ChatGPT.