In this beginner-friendly crash course, I’ll show you how to use LangChain to build powerful AI-applications from scratch
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00:00 - Introduction
1:27 - Overview
4:35 - What is LangChain?
7:27 - Pre-Requisites
9:27 - Environment Setup
12:27 - Chat Models - Overview
15:43 - Chat Models - Setup
23:20 - Chat Models - Passing Chat History
27:44 - Chat Models - Alternative LLMs
30:39 - Chat Models - Real-time Conversation
35:09 - Chat Models - Chat History Stored In Cloud
43:34 - Prompt Templates
50:22 - Chains - Overview
54:18 - Chains - Basic
59:19 - Chains - Inner Workings
1:07:28 - Chains - Sequential Chaining
1:10:43 - Chains - Parallel Chaining
1:17:42 - Chains - Conditional Chaining
1:24:47 - RAGs - Intro
1:29:00 - RAGs - Workflow (Part 1)
1:36:02 - RAGs - Embeddings & Vector DBs
1:39:19 - RAGs - Workflow (Part 1) - Contd.
1:40:44 - RAGs - Workflow (Part 2)
1:43:16 - RAGs - Basic Example (Part 1)
1:52:15 - RAGs - Basic Example (Part 2)
1:58:11 - RAGs - With MetaData
2:06:11 - RAGs - One-off Question
2:11:13 - Agents & Tools - Basic
2:16:46 - Agents & Tools - Deep Dive
Playlist Link: • LangChain Crash Course #1 - Introduction
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