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
Conversational Retrieval Agents TL;DR: There have been several emerging trends in LLM applications over the past few months: RAG, chat interfaces, agents. Our newest functionality - conversational
Unifying AI endpoints with Genoss, powered by LangChain Editor’s Note: This blog post was written by Matt Carey, one of the builders of Genoss. We're sharing it on our blog
LangChain Expression Language TL;DR: * We’re excited to announce a new syntax to create chains with composition. This comes along with a new interface that supports batch,
Goodbye CVEs, Hello `langchain_experimental` One of the things that LangChain seeks to enable is connecting language models to external sources of data and computation. This allows language models to
Zep x LangChain: Diagnosing and Fixing Slow Chatbots Editor’s Note: This blog post was written in collaboration with Zep, an early LangSmith BETA user. We've fielded a lot of questions
