Search results for “site:blog.langchain.dev”

About 20 results

blog.langchain.dev customers-podium

How Podium optimized agent behavior and reduced engineering intervention by 90% with LangSmith

See how Podium tests across the lifecycle development of their AI employee agent, using LangSmith for dataset curation and finetuning. They improved agent F1 response quality to 98% and reduced the need for engineering intervention by 90%.

blog.langchain.dev unify-launches-agents-for-account-qualification-using-langgraph-and-langsmith

Unify Launches Agents for Account Qualification using LangGraph and LangSmith

This is a guest blog post written by Sam and Connor at Unify. Unify is reinventing how go-to-market teams work using generative AI. As part of this transformation, they are launching a new agents feature today (powered by LangGraph and LangSmith). We had the pleasure of learning more about the

blog.langchain.dev enhancing-rag-based-applications-accuracy-by-constructing-and-leveraging-knowledge-graphs

Enhancing RAG-based application accuracy by constructing and leveraging knowledge graphs

A practical guide to constructing and retrieving information from knowledge graphs in RAG applications with Neo4j and LangChain Editor's Note: the following is a guest blog post from Tomaz Bratanic, who focuses on Graph ML and GenAI...

blog.langchain.dev langsmith-ga

Announcing the General Availability of LangSmith and Our Series A Led By Sequoia Capital

Today, we’re thrilled to announce the general availability of LangSmith — our solution for LLM application development, monitoring, and testing. We initially launched LangSmith in closed beta in July 2023. Since then, we’ve received...