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How to Build An Ecommerce Image Search Application with Marqo's State-of-the-Art Models

Blog post from Marqo

Post Details
Company
Date Published
Author
Ellie Sleightholm
Word Count
1,954
Company Posts That Month
3
Language
English
Hacker News Points
-
Post removed?
No
Summary

The guide details the process of building an ecommerce image search application using Marqo's advanced multimodal embeddings. It outlines setting up a Marqo index to store and process product data like titles, categories, and images for efficient searching. Users are guided through initializing and configuring the Marqo client, defining index settings, and adding product data in batches from CSV files to enhance search performance. The guide also covers creating a user interface with Gradio, enabling users to refine searches by emphasizing or de-emphasizing themes, and suggests optional steps for monitoring index statistics and deploying the application on Hugging Face Spaces. Additionally, it provides instructions for cleaning up resources to avoid unnecessary costs, emphasizing the index's flexibility and power in delivering quick, relevant search results.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 19 2,767 278 102 -41%
RAG 1 1,943 207 76 -13%
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