In this LangChain Crash Course you will learn how to build applications powered by large language models. We go over all important features of this framework.

Timeline:
00:00 - Introduction
01:09 - Installation
01:22 - LLMs
03:08 - Prompt Templates
04:58 - Chains
06:02 - Agents and Tools
09:54 - Memory
11:15 - Document Loaders
12:24 - Indexes

Resources:
Written guide: [ Ссылка ]
Colab: [ Ссылка ]
Docs: [ Ссылка ]
GitHub: [ Ссылка ]
Chatbot example: [ Ссылка ]

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📓 ML Notebooks available on Patreon:
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