Zep x LangSmith: Foundations of LLM app development with LangChain.js and Zep Learn how to build three foundational LLM apps using TypeScript, LangChain.js, and Zep. Editor's Note: This post was written in collaboration with
Langchain x Predibase: The easiest way to fine-tune and productionize OSS LLMs Editor's Note: This post was written in collaboration with the Predibase team. We're really excited about the way their integration with
Qdrant x LangChain: Endgame Performance Editor's Note: This post was written by the Qdrant team and cross-posted from their blog. As more LLM applications move into production, speed,
MultiOn x LangChain: Powering Next-Gen Web Automation & Navigation with AI Editor's Note: This post was written in collaboration with MultiOn. We're really excited about the way they're using Agents
Benchmarking Question/Answering Over CSV Data This is a bit of a longer post. It's a deep dive on question-answering over tabular data. We discuss (and use) CSV data
Label Studio x LangChain: From Foundation Models to Fine-Tuned Applications Using Label Studio Editor's Note: This post was written by Jimmy Whitaker, Data Scientist in Residence at HumanSignal. Label Studio is an open-source data labeling platform
GPT Researcher x LangChain Here at LangChain we think that web research is fantastic use case for LLMs. So much so that we wrote a blog on it about
Villagers x LangSmith: Simulating multi-agent social networks with LangSmith Editor's Note: This post was written in collaboration with Kevin Hu, Tae Hyoung Jo, John Kim, and Tejal Patwardhan from the Villagers team.
NeumAI x LangChain: Efficiently maintaining context in sync for AI applications Editors Note: This post was written by the NeumAI team and cross-posted from their blog. Keeping source data relevant and up-to-date efficiently is a challenge
Making Data Ingestion Production Ready: a LangChain-Powered Airbyte Destination A big focus of ours over the past few months has been enabling teams to go from prototype to production. To take apps they developed
Chat with your data using OpenAI, Pinecone, Airbyte and Langchain Editor’s Note: This blog post was written in collaboration with Airbyte. Their new vector database destination makes it really easy for data to retrieve
Yeager.ai x LangChain: Exploring GenWorlds a Framework for Coordinating AI Agents Editor's Note: This is another edition of our series of guest posts highlighting the powerful applications of LangChain. We have been working with
