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

Комментарии • 19

  • @siviCS-i5m
    @siviCS-i5m 2 месяца назад +2

    Godlike presentation. I hope this channel blows up, you deserve it.

    • @rabbitmetrics
      @rabbitmetrics  2 месяца назад

      Thank you! Appreciate the support 🙏

  • @returncode0000
    @returncode0000 17 дней назад

    Incredible tutorial, I learnt a lot! Will you also do videos on langgraph or crewai?

  • @sergheidragan1372
    @sergheidragan1372 2 месяца назад

    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!

    • @rabbitmetrics
      @rabbitmetrics  2 месяца назад

      I appreciate the kind words🙏 In future videos, I will post more data analysis use cases. Thanks for watching!

    • @isaacmwesigwa8507
      @isaacmwesigwa8507 Месяц назад

      @@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

  • @antonlagergren
    @antonlagergren Месяц назад

    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!

  • @CeejayPTcoach
    @CeejayPTcoach Месяц назад

    hi sir , will using different Models for the embedding and Answers Generation not reduce the Precision ?

  • @darkmatter9583
    @darkmatter9583 3 месяца назад +1

    keep updating content, thanks great value!!🎉❤

  • @yutoriotsu8848
    @yutoriotsu8848 Месяц назад

    Thank you for your very clear explanation of the important key concepts of LangChain!

  • @atharvadumbre
    @atharvadumbre 3 месяца назад

    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?

  • @rajuchoudhari2409
    @rajuchoudhari2409 2 месяца назад

    Awesome! enjoyed learning from you :)

  • @juanmanuelzwiener4447
    @juanmanuelzwiener4447 3 месяца назад

    tremenda clase, mas contenido así por favor

  • @GordonShamway1984
    @GordonShamway1984 3 месяца назад

    the best tutorial and knowledge preparation i have come across in my life! Thank you for all your effort!

    • @rabbitmetrics
      @rabbitmetrics  2 месяца назад

      Thank you! Glad you found the tutorial useful :)

  • @srinivassr5067
    @srinivassr5067 2 месяца назад

    can you share the link to the collab