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Elastic

Open-source search company ($12B market cap) offering ESRE (Elasticsearch Relevance Engine) for retrieval-augmented generation (RAG). Provides hybrid vector + keyword search that competes with purpose-built vector databases like Pinecone.

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📋About Elastic

Updated September 16, 2026

Elastic is the company behind Elasticsearch, one of the most widely used search and analytics engines in the world. Founded in 2012 by Shay Banon, the publicly traded company provides the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats) for search, observability, and security use cases.

Elastic has repositioned itself as an AI search company with the Elasticsearch Relevance Engine (ESRE), which combines traditional keyword search with vector search and AI-powered ranking. Elastic's vector database capabilities enable semantic search and RAG (retrieval-augmented generation) applications, allowing enterprises to build AI-powered search over their private data. The platform supports hybrid search (combining BM25 keyword matching with dense vector similarity) and integrates with major LLM providers.

Elastic's massive installed base — running in hundreds of thousands of organizations for log management, application search, and security analytics — gives it a unique distribution advantage in the AI search market. Rather than asking enterprises to adopt a new vector database, Elastic adds AI search capabilities to infrastructure they already operate and trust.

🛠️Products & Tools (1)

Elastic AI SearchVector Databases & RAG

ESRE (Elasticsearch Relevance Engine) for retrieval-augmented generation. Hybrid vector + keyword search combining traditional full-text with semantic vector search in a single platform.

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