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1
Introduction
2
Why use Vector Search
3
Text Matching
4
Intent Matching
5
Keyword Search
6
Garment Search
7
Conceptual Overview
8
Use Cases
9
Vector Search
10
Machine Learning Model
11
Model Hub
12
Search
13
Demo
14
Textual Search
15
OpenAI Clip
16
Uploading Models
17
Embedding Images
18
Results
19
Development
20
Summary
Description:
Explore the new era of search experience with vector search in this 27-minute ElasticON EMEA conference talk. Discover how vector search enables queries without specific keywords and applies semantic search to text, images, and audio. Learn about intelligent discovery methods like recommendation engines in e-commerce and question-answering using transformer models. Understand Elastic's support for vector search and NLP since the 8.0 release, including approximate nearest neighbor search and importing pretrained PyTorch models. Gain insights on combining traditional retrieval techniques with vector search to achieve optimal results. Explore use cases, conceptual overviews, and a demo showcasing textual search, OpenAI Clip, model uploading, and image embedding.

ElasticON EMEA - The Search for Relevance with Vector Search

Elastic
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