On-demand webinar

Elasticsearch Vector Database: Ship in minutes, scale to billions

Hosted by:

Aish Gunasekar

Principal Solution Architect

Elastic

Overview

LLMs don't know your business. Every AI app hits that wall, and closing the gap means putting a vector database under your RAG pipelines, assistants, and agents. Elasticsearch now ships pretuned for vector workloads. We'll build vector search on Elasticsearch step by step, indexing with DiskBBQ quantization, wiring managed GPU inference and native models instead of your own embedding pipeline, and tuning hybrid retrieval for sub-100ms latency. Then we'll scale it with _slice across thousands of tenants. Walk away knowing how to ship production vector search without the tuning or rearchitecting.

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