Course: LangChain

Notes for the LangChain course: 68 lessons across 13 sections.

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Introduction

• Course Introduction
• Configuring the Development Environment

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Overview of LangChain

• What is LangChain
• Why LangChain
• Key Use Cases

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Key Components of LangChain

• Building Blocks of LangChain
• Model IO
• Memory
• Retrieval
• Chains
• Tools
• Agents

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Interacting with LLMs

• Setting up Environment
• Types of Language Models
• Getting Started with LLMs
• Messages in ChatModel
• Messages in ChatModel Demo
• Prompt Templates
• Prompt Templates Demo
• Few shot Prompt Templates
• Parsing Model Output
• Parsing Model Output Demo 1
• Parsing Model Output Demo 2
• Parsing Model Output Demo 3

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Tips, Tricks, and Resources

• Key Libraries
• Key Libraries Demo
• Tips and Tricks
• Debugging LangChain Applications
• Using Verbose Flag
• Callbacks
• Resources

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Introduction to LCEL

• Overview of LCEL
• LCEL Demo 1
• LCEL Demo 2
• LCEL Demo 3
• LCEL Demo 4
• LCEL Demo 5
• LCEL Demo 6

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Adding Memory to LLM Apps

• Adding Memory to LLM Apps
• Demo Adding Short Term Memory
• Exploring Configurable Parameters
• Dealing with Memory

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Performing Retrieval

• Performing Retrieval
• Loading PDFs
• Loading Webpages
• Chunking Documents
• Generating Embeddings
• Performing Semantic Search
• RAG with PDFs
• RAG with Webpages

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Implementing Chains

• Overview of Chains
• Using Document Chain
• Using Retrieval Chain

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Using Tools

• Understanding and Using tools
• Using Wikipedia Tool
• Using Tavily Search Tool
• Using Yahoo Finance News Tool
• Building a Custom Tool

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Building Agents

• What are Agents
• Building an Agent with Search Tool
• Adding Python REPL to Tool
• Building a Real time Flight Agent

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Conclusion

• Conclusion

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Building Blocks of LLM Apps

• Building Blocks of an LLM Application
• Prompts and LLM
• LLM Context
• LLM Response
• History