If the query requires straightforward language model processing, LangChain directly invokes the LLM (e.g., OpenAI) to generate a response.

Continued investment into LangChain’s ecosystem brings Elastic’s latest retrieval innovations to one of the most popular generative AI libraries SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE ...

Today, LangChain, the startup facilitating the development of large language model (LLM) apps with its open-source framework, announced it has raised $25 million in a series A round, led by ...

LangChain’s founder Harrison Chase is looking to advance agentic AI with the concept of ambient agents, which might well be the next step on the path to generalized intelligence.

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 ...

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models.