Learn LangChain in 7 Easy Steps - Full Interactive Beginner Tutorial
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- Опубликовано: 2 окт 2024
- In this tutorial, I will teach you LangChain as efficiently as possible by breaking down the framework into seven key components you need to understand to start developing more advanced LLM applications.
Link to written tutorial with code and interactive map:
www.rabbitmetr...
▬▬▬▬▬▬ V I D E O C H A P T E R S & T I M E S T A M P S ▬▬▬▬▬▬
1:14 LangChain Overview & QuickStart
8:43 Chains, Prompts & Loaders
15:00 LangChain Expression Language & Runnables
23:22 Splitters & Retrievers
29:45 Building a RAG Chain
33:53 Tools & Toolkits
37:20 Building Agents with Tool Access
Godlike presentation. I hope this channel blows up, you deserve it.
Thank you! Appreciate the support 🙏
Incredible tutorial, I learnt a lot! Will you also do videos on langgraph or crewai?
Superb tutorial! I liked the diagram a lot and the way it was connected to the examples. Keep up the good work! Would love to see further end-to-end projects addressing Data Analysis use cases using LangChain Agents. A big Thank You for your work!
I appreciate the kind words🙏 In future videos, I will post more data analysis use cases. Thanks for watching!
@@rabbitmetrics I totally loved the diagram. It helped me really ground my understanding of langchain. What tool do you use to build the diagram?.. They are super useful
Wonderful content 🌟 Thank you for making this.
- Question -
Which application did you use to create the presentation? (@ approx min 4:39 with the expanding and collapsible menus/topics)
It looks great and I’d like to try and use that to make my own presentations.
Thank you!
Yes, I also want to know
hi sir , will using different Models for the embedding and Answers Generation not reduce the Precision ?
keep updating content, thanks great value!!🎉❤
Thank you for your very clear explanation of the important key concepts of LangChain!
Thanks for the quality content. The agent part of Langchain is pretty interesting! What are some of the industry use cases that you might have came across while researching about LangChain Agents?
Awesome! enjoyed learning from you :)
tremenda clase, mas contenido así por favor
the best tutorial and knowledge preparation i have come across in my life! Thank you for all your effort!
Thank you! Glad you found the tutorial useful :)
can you share the link to the collab
There's a link below the video