Case Study: Vectorize achieves scalable agentic AI and search accuracy with Elastic

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Preview of the Vectorize Case Study

Vectorize deploys AI in hours with Elastic

Vectorize, a software company specializing in agentic AI, helps businesses use their data with large language models. Their challenge was enabling organizations to deploy highly accurate AI solutions quickly, especially when searching through vast numbers of very similar documents in fields like law and finance, where precision is critical. They partnered with vendor Elastic to use Elasticsearch and its hybrid search capabilities.

Using Elastic Cloud and its serverless offering, Vectorize built a solution that combines semantic and traditional search. This allowed them to deploy highly accurate AI solutions for clients in just a couple of hours, a process that previously took their in-house team at least two weeks. The solution delivered industry-leading search accuracy and real-time learning, enabling one client's AI agent to scale with a community that doubled in size over a year.


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