Discover how LangChain Sandbox ensures safe Python code execution for AI developers, protecting systems from unverified code risks.

We can dramatically increase the accuracy of a large language model by providing it with context from custom data sources. LangChain makes this integration easy.

LangChain helps developers build applications on top of AI models using "chains" — and this mission just landed it millions more in funding, just a week after raising a seed round.

LangChain, one of the leaders in the AI framework and orchestration space, plans to remain committed to the open source ecosystem, particularly as it reinforces its vendor-agnostic stance ...

The LangChain Libraries, available in Python and JavaScript, form the core, offering interfaces and integrations for a multitude of components.

LangChain evaluated a single AI agent to see if its performance degrades when given more context and tools, essentially overwhelming it.

Companies don’t need to use LangChain’s open-source software to use LangSmith, though Chase said the paid tool also functions as the company’s enterprise-grade version of it, as well.