Awesome Langchain Weekly Digest - w24/2023
Personal use cases week with articles and video about Quivr, AnythingLLM, OpenDAN
Hello LangChain Enthusiasts!
This week, we're delving into personal use cases of LangChain with insightful articles and intriguing videos about Quivr, AnythingLLM, and OpenDAN.
Langchain Updates
Quick highlight on some Langchain updates:
Snowflake: Load data from your Snowflake into document objects. This will allow you to split, embed, and eventually query it with a semantic search.
Unstructured CSV Loader:
Lord of the Retrievers: Merger Retriever allows for an easy combination of MULTIPLE retrievers.
Update for GraphCypherQAChain: Limit the number of results, Return intermediate, and Return Direct results.
Changelog
This is a curated list of updates. For a comprehensive look at all updates on both Python and JS, review here:
Awesome Projects
Checkout those awesome projects showcasing the versatility of LangChain:
GoT Chatbot: Repo for creating GoT Chatbots (ex: talk with Tyrion Lannister)
Anything LLM: A full-stack application that turns any document into an intelligent chatbot with a sleek UI and an easier way to manage your workspaces.
Salute: A simple and declarative way to control LLMs
OpenDAN: open source Personal AI OS consolidates various AI modules in one place for your personal use.
ReLLM: Regular Expressions for Language Model Completions.
Dialoqbase: a web application that allows you to create custom chatbots with your knowledge base
CSV AI: Ultimate app powered by LangChain that allows you to unlock hidden insights in your CSV files
Articles & Videos
Multilingual Chat Bot for Personal Documents (medium article)
Langchain Video, Quivr Deepdive, Your second brain with Langchain
3 episodes by Sam Witteveen
Output Parser
Custom Medical Agent with Memory
Understanding ReACT
From Twitter
A thread about Managing LLM limitations
Other News
Over the weekend, prominent scientists Andrew Ng and Geoffrey Hinton reached out to the scientific community, urging for a unified agreement on potential risks similar to the stance maintained by climate scientists. This crucial discussion, happening amidst a climate of differing opinions, has also drawn the interest of Yann LeCun:
Regarding our favorite framework, Andrew Ng wrote: "As for making LLMs plan, OpenAI's process supervision, ReAct-style prompting, and 'wild west' stuff like LangChain agents feels like tons of people are experimenting with different ideas."
That's All for Now!
Thank you for being part of this exciting journey with us. The LangChain ecosystem wouldn't be the same without its vibrant community. If you enjoyed this week's digest, please consider sharing it with others. With more people involved, our content becomes richer and more diverse.
Your input is invaluable to us. If we missed something or you'd like to suggest a project, please make a PR, add an issue on our GitHub repository, or email us at awesomelangchain[at]kyrolabs.com. We can't wait to hear from you!
Stay curious, stay awesome, and see you next week!
The team at Kyrolabs lovingly curates this newsletter.