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.
- LangChain Intro
- LangChain Prompt Templates
- LangChain Chains
- LangChain Conversational Memory
- LangChain Chat
- LangChain Retrieval Augmentation
- LangChain Agents
- LangChain Tools
- LangChain Retrieval Agent
- LangChain Chunking
- Quick Agents Intro
References
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.