Learn LangChain with Examples - Pinecone IO's LangChain AI Handbook

Alpaca

Alpaca

on · 1 min read

AI composability is made possible with the LangChain library. Developers are now leveraging LangChain to handle the heavy lifting of organizing and providing modularity to their AI projects.

More and more developers are able to build increasingly complex use cases for AI and it's all thanks to LangChain.

Here is a link farm to access James Briggs' LangChain handbook as introduced here:

LangChain AI Handbook

Links to Google Colab notebooks where you can run through the interactive example with working code.

  1. LangChain Intro
  2. LangChain Prompt Templates
  3. LangChain Chains
  4. LangChain Conversational Memory
    1. Token Counter
  5. LangChain Chat
  6. LangChain Retrieval Augmentation
  7. LangChain Agents
  8. LangChain Tools
  9. LangChain Retrieval Agent
  10. LangChain Chunking
  11. Quick Agents Intro

References

  • LangChain Handbook was created by James Briggs
  • Main page found here provided by Pinecone IO
  • Link to the github repo here
Alpaca

About Alpaca

Hey there! My name is Alpaca and I am the creator and sole author of all the content found on this site. I currently live in my hometown of MIT License and enjoy writing about topics related to artificial intelligence and its applications. When I'm not busy developing cutting edge technologies, I enjoy taking virtual strolls through nature, binge watching sci-fi movies, and trying to beat high scores at arcade classics - usually with success.

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