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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: https://www.python-engineer.com/posts... Colab: https://colab.research.google.com/dri... Docs: https://python.langchain.com/en/latest/ GitHub: https://github.com/hwchase17/langchain Chatbot example: https://github.com/hwchase17/chat-lan... Get my Free NumPy Handbook: https://www.python-engineer.com/numpy... ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtu... * ⭐ Join Our Discord : / discord 📓 ML Notebooks available on Patreon: / patrickloeber If you enjoyed this video, please subscribe to the channel: ▶️ : / @patloeber ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.python-engineer.com 🐦 Twitter - / patloeber ✉️ Newsletter - https://www.python-engineer.com/newsl... 📸 Instagram - / patloeber 🦾 Discord: / discord ▶️ Subscribe: / @patloeber ~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~ 🅿 Patreon - / patrickloeber #Python ---------------------------------------------------------------------------------------------------------- This is an affiliate link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏