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Unlock Multimodal Search

本课程是 Vector DB Foundations, Embeddings & Search Algorithms 专项课程的一部分

位教师：LearningMate

包含在中

了解更多

2个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Configure Weaviate to store and query linked image and text embeddings and analyze the precision gains of multimodal search.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Vector DB Foundations, Embeddings & Search Algorithms 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有2个模块

"Unlock Multimodal Search" is an intermediate, hands-on course for developers and ML engineers ready to build the next generation of AI-powered search. Text-only search is no longer enough; this 90-minute course will teach you how to create applications that can search across different data types, such as finding text from an image. Using the powerful open-source vector database Weaviate, you will move from theory to a functioning demonstration. This course requires basic skills in Docker, APIs, Python, and the command line (CLI). Familiarity with vector databases. Docker Desktop must be installed.

This course is focused on execution. You will learn to configure a Weaviate schema to handle both image and text embeddings for a single object, ingest multimodal data, and perform powerful cross-modal queries. Through a final, hands-on project that mirrors a real-world job task, you will not only build an image-to-text search demo but also learn how to measure its accuracy with precision metrics. By the end, you'll be equipped to architect and validate sophisticated, multimodal AI applications.

单元详情

This module provides the foundation for multimodal search. You will learn how to configure a Weaviate instance and design a schema that can store both image and text embeddings for a single object, preparing your database for cross-modal queries.

涵盖的内容

1个视频1篇阅读材料2个作业

Now that your database is configured, this module focuses on execution and validation. You will learn how to perform cross-modal queries to find text from an image and, critically, how to analyze the accuracy of your results using precision metrics.