Elasticsearch and LangChain collaborate on production-ready RAG templates


For the past few months, we’ve been working closely with the LangChain team as they made progress on launching LangServe and LangChain Templates! LangChain Templates is a set of reference architectures to build production-ready generative AI applications. You can read more about the launch here.

Thanks to our community, Elasticsearch® is one of the most popular vector stores on LangChain. Elasticsearch has production-ready vector database capabilities that developers can use to build interesting use cases. This collaboration with LangChain brings together the power of LangSmith — designed to help you create production-ready generative AI apps — and Elasticsearch to enable you — and companies like Labelbox and Cisco — to build better AI products, at scale.

Get started today

Get started with the Elasticsearch RAG template for LangChain. And come check out Search Labs for all our new content — we have code notebooks, engineering blogs, and sample projects on GitHub.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

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