Case Study: Fraim achieves over 50% search platform cost reduction with Elastic Elasticsearch

Fraim reduces search platform costs by over 50% with Elastic

Fraim, a company providing the LAWGUE cloud document workspace, faced challenges in creating a reusable knowledge platform from business documents. Their existing search infrastructure was complex, with separate systems for text and vector search leading to high costs and management overhead. To build an AI-era platform for precise knowledge retrieval, they turned to the Elasticsearch Platform from Elastic.

By integrating text and vector search onto the unified Elastic Cloud platform, Elastic provided a flexible and extensible solution. This consolidation reduced Fraim's search platform costs by over 50% and streamlined operations. The solution also provided a strong foundation for developing retrieval augmented generation (RAG) and AI agents, significantly cutting development effort and supporting advanced, context-aware search for their customers.

Fraim