See production-grade vector search, live
WEBINAR
Get production vector search running without manual configuration
12 November 2026
Before a vector app returns a single result, you usually have to chunk documents, host embedding and reranking models, configure indexes, and wire up query-time embeddings.
With the new Elasticsearch Vector Database, you write a mapping, index your documents, and send a query. Managed GPUs and expert-tuned defaults cover the rest.
Join our live demo to see how to:
Run semantic search with a single field type, semantic_text
Combine full-text and vector retrieval in one hybrid query
Shrink vector memory up to 32x with Better Binary Quantization (BBQ), while preserving recall
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