Enable Vectorization in Weaviate is a focused, intermediate course for developers and ML engineers ready to automate a critical part of the AI workflow. If you're tired of manually generating embeddings, this one-hour, hands-on course shows you how to make Weaviate do the heavy lifting for you. You will learn to enable and configure Weaviate's built-in vectorizer modules, such as those for OpenAI and Cohere, directly within your Docker environment. This course requires basic Docker and CLI skills, familiarity with APIs and vector embeddings, and Docker Desktop installed.
Enable Vectorization in Weaviate
您将学到什么
Enable Weaviate's built-in vectorization modules and evaluate the cost and performance implications of using different embedding services.
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Chroma, Weaviate & Production RAG Deployment 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1个模块
In this module, you will master the end-to-end process of automating vectorization in Weaviate. You will learn to configure your environment and schema to enable a vectorizer module, ingest data to see it work, analyze its performance, and conduct a cost-benefit analysis to justify your architectural decisions.
涵盖的内容
1个视频1篇阅读材料1个作业1个非评分实验室
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229 门课程 14,147 名学生
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