Advanced vector search in air-gapped environments
Elastic Blog - Elasticsearch, Kibana, and ELK Stack

Advanced vector search in air-gapped environments


Summary

This article details how Elastic is enabling advanced AI-powered search, specifically vector and multimodal search, even in secure, air-gapped environments like those found in national security and defense. It highlights Retrieval Augmented Generation (RAG) as a solution for organizations struggling with large, complex datasets and limited AI expertise, allowing them to leverage proprietary data with LLMs effectively. Elastic’s approach combines vector search with traditional keyword search for highly tailored and accurate results across various data types – text, image, audio, and video.
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