Awesome Langchain Weekly Digest - w26/2023
OpenAI's functions are pushing LangChain's agent to the next level
Hello LangChain Enthusiasts!
We've seen a flurry of activity this week, primarily focusing on OpenAI's new features, which we mentioned last week. Functions pique interest and branch out in numerous directions, like extractions and faster agents.
Here are some updates from the Langchain ecosystem you should know about:
Integration
Langchain Extraction It uses OpenAI's functions to extract structured information from content.
Mongo Vector database: Mongo announced their vector search offering LangChain already got integrations with it.
Motherduck is a managed DuckDB-in-the-cloud service.
VertexAI: We have further integrated more models with VertexAI.
Changelog
This is a curated list of updates. For a comprehensive look at all updates on both Python and JS, review here:
Awesome Projects
Following last week's release of AI from Vercel, this week, they shared ChatBot :
Vercel Labs' AI Chatbot: A feature-rich, hackable Next.js AI chatbot.
a16z's AI Getting Started: A JavaScript AI starter stack for weekend projects, complete with image/text models, vector stores, auth, and deployment configs.
Embedchain: A framework for creating LLM-powered bots over any dataset.
Articles & Videos
Articles & Videos Worth Your Time:
"Build a Question-Answering over Docs SMS Bot with LangChain in Python" featured on the Twilio blog. A special shout-out to the Twilio team for offering a free trial for everyone to give it a whirl. You can utilize the promo code AWESOMELANGCHAIN23 for access (find instructions here).
Gil Fernandes' series on Medium, particularly the article "LangChain's Router and Callbacks."
The extensive one-page guide about Langchain on Shurutech.
“LlamaIndex: The Ultimate LLM Framework for Indexing and Retrieval" on Towards Data Science.
Videos
LangChain "OpenSource LLMs" Webinar, from previous week
And this week, another podcast with great guests about functions:
Sam Witteveen video: Tagging and Extraction - Classification using OpenAI Functions
Using ChatGPT with your own Data
From Twitter
LLMops on Google Cloud micro-services with
https://twitter.com/holomarked/status/1672669761669300225?s=12&t=79HZhE3ChdH7091ieZLL1A
Langchain Ecosystem by Lance Martin
Other News
Check out a16z's article on "Emerging Architectures for LLM Applications."
That's All for Now!
That's it for this week!
As always, we want to thank you for being a part of this exhilarating journey with us. The vibrancy of the LangChain community is a testament to each of you. If you found this week's digest helpful, we encourage you to share it. More voices lead to richer and more varied content.
We cherish your feedback. If you believe we missed something or want to suggest a project, feel free to create a PR or an issue on our GitHub repository or drop us a line at awesomelangchain[at]kyrolabs.com.
Stay curious, stay awesome, and see you next week!
This newsletter is crafted with love by the Kyrolabs team.
PS: At Kyrolabs, we always seek individuals passionate about AI Agents and LangChain. If you're interested in joining us on this exciting journey, drop us a message at contact[at]kyrolabs.com and tell us about your interest in AI Agents and your background.