[Week of 8/7] LangChain Release Notes

New in LangSmith

• Teams: You can now collaborate in LangSmith! We’ve released support for teams of up to five people. If you need more, get in touch at support@langchain.dev
• Cookbooks: Learn how to get more out of LangSmith's debugging, testing, and feedback functionality with these end-to-end recipes in the LangSmith Cookbook repository. Cookbooks added so far: How to use LangSmith if you’re NOT using LangChain
• What use-cases would you like to see? Tell us at hello@langchain.dev
• UI updates: resizable columns in table views and enhanced navigation
• Performance improvements and Bug Fixes: fixed stuttering occurring on run tree navigation

New in Open Source:

• LangChain Expression Language:  a new syntax to create chains with composition. webinar recording here. Cookbook of examples rewriting popular chains here.
• Conversational Retrieval Agents: There have been several emerging trends in LLM applications over the past few months: RAG, chat interfaces, agents. Our newest functionality - conversational retrieval agents - combines them all. blog post here.
• Parent Document Retriever: A new retrieval algorithm that creates small chunks (to allow embeddings to have semantic meaning) and fetches the parent documents those chunks came from (to capture full context). Docs here.
• Text Splitting Playground: Chunking text into appropriate splits is seemingly trivial yet very nuanced. Open sourcing a playground to help explore different text splitting strategies. GitHub here. Hosted Playground here.
• Use Case Documentation: We’ve updated documentation to better highlight all the use cases of LangChain. Big shout out to community members Francisco Pingham and Manuel Soria for their help here!
• LangChain.js + Next.js starter template: more streaming and prompt customization developer experience improvements via popular use-cases you can clone, remix, and deploy on Vercel in a few clicks

In case you missed it

• Goodbye CVEs, Hello langchain_experimental by Team LangChain
• Why Langchain is important for every developer by Logan Kilpatrick
• Chat with your data using OpenAI, Pinecone, Airbyte and Langchain with Airbyte
• LangChain "Advanced Retrieval" Webinar: recording here
• Simulating multi-agent social networks with LangSmith with Villager

Use-cases we love

• AI Smart Study Buddy by Joris
• AI Cloning Guide by Paulis
• Metaphor’s agent explores the web
• Read and chat with research papers via Lumina
• Chat with CSV’s by Ismail Pelaseyed
• Prem AI’s an AI Chatbot for earnings calls
• New summarization use-case docs
• Generate a data-driven Powerpoint presentation for company research by Oleksandr Arsentiev
• Decoding Warren Buffett with LLMs and Snowflake SQL by Streamlit
• Dr Claude (Anthropic Hackathon 3rd place project) by Wian Stipp, Fady Nakhla, Arthur Book, and Şükrü Kıymacı
• Understand your medical results by MedLabReport

Thank you’s

• Niels Swimburger for the Assembly AI integration
• Manuel Soria for his work on Text-to-SQL docs
• Massimiliano Pronesti for vLLM integration
• Francisco Pingham for extraction docs
• Artem Riabokon for Maximal Marginal Relevance + MongoDB work
• Bill Chambers for updating our starter repo for creating a chatbot over your data
• Matthew DeGuzman and Prakhar Gupta for Azure ML Online Endpoint extension
• Rajib Deb for her video on using LangChain Expression Language
• jinyan for Combining Memory Classes

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