May 2026 marks a definitive turning point in the AI industry, moving beyond the hype of experimental pilots into the gritty ...

Why RAG matters: RAG connects LLM outputs to verified sources, reducing hallucinations and improving factual accuracy in AI responses. LangChain's role: LangChain offers modular integrations for ...

Abstract: LangChain stands at the intersection of advanced natural language processing and document analysis. LangChain enables users to seamlessly extract information, summarize text, perform ...

Cybersecurity researchers have disclosed three security vulnerabilities impacting LangChain and LangGraph that, if successfully exploited, could expose filesystem data, environment secrets, and ...

As models get smarter and more capable, the "harnesses" around them must also evolve. This "harness engineering" is an extension of context engineering, says LangChain co-founder and CEO Harrison ...

A critical security flaw has been disclosed in LangChain Core that could be exploited by an attacker to steal sensitive secrets and even influence large language model (LLM) responses through prompt ...

While a basic Large Language Model (LLM) agent—one that repeatedly calls external tools—is easy to create, these agents often struggle with long and complex tasks because they lack the ability to plan ...

Artificial intelligence infrastructure, developer tools, observability and workflow orchestration company LangChain Inc. has reportedly raised $100 million in new funding on a $1.1 billion valuation.

LangChain, whose AI software helps developers build applications using models like OpenAI’s GPT-4, has raised $100 million in funding at a $1.1 billion valuation, four sources familiar with the deal ...

LangChain, an AI infrastructure startup providing tools to build and monitor LLM-powered applications, is raising a new round of funding at an approximate $1 billion valuation led by IVP, according to ...