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AI search platform

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Aug 1, 2026 · Artificial Intelligence

From Text to Images: Building Multimodal Product Search with Elasticsearch Serverless

This article presents a detailed technical guide on constructing a multimodal product search system that combines text and image queries using embedding vectors, hybrid dense‑sparse models, vector similarity metrics, and Elasticsearch Serverless’s built‑in vector support, while also covering quantization techniques, hybrid search fusion, and best‑practice deployment architectures on Alibaba Cloud.

AI search platformElasticsearch ServerlessHybrid Search

0 likes · 22 min read

From Text to Images: Building Multimodal Product Search with Elasticsearch Serverless

DataFunSummit

Jun 18, 2026 · Artificial Intelligence

From Text to Images: Building Multimodal Product Search with Elasticsearch Serverless

This article examines the evolution of e‑commerce search from simple keyword matching to multimodal, cross‑modal retrieval, explains the core embedding and vector‑search technologies, compares dense, sparse and hybrid models, and demonstrates how Elasticsearch Serverless and Alibaba Cloud AI Search Platform enable a low‑cost, serverless, high‑performance end‑to‑end multimodal product search solution.

AI search platformBBQElasticsearch Serverless

0 likes · 21 min read

DataFunSummit

Mar 24, 2026 · Artificial Intelligence

How to Build a Multimodal Product Search System with Embedding and Vector Retrieval

This article presents a comprehensive, end‑to‑end solution for multimodal product search, detailing the evolution from keyword to image‑based queries, the core embedding and vector retrieval technologies, practical Elasticsearch Serverless integration, quantization methods, and a complete demo workflow for building a high‑performance, low‑cost search platform.

AI search platformElasticsearchEmbedding

0 likes · 21 min read