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Weaviate 11月19日网络研讨会：搭建首个 Agentic AI 应用

Weaviate@weaviate_io
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Weaviate 官方办的入门直播，20 分钟现场从零搭一个 agentic search 应用，还会拿 pgvector 来对比。刚开始做智能体检索应用、纠结数据放哪和要不要自建向量库的工程师，看完思路会清晰不少。

Weaviate 宣布将于 11 月 19 日举办网络研讨会，主题是如何搭建第一个 agentic AI 应用。内容覆盖三个常见卡点：该选哪些模型、数据应该存放在哪里、自建还是采购。课程会讲解向量数据库的工作原理，以及专用向量数据库与 pgvector 这类扩展方案的对比。

Image · Weaviate
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演示环节将介绍 Weaviate Query Agent，它可以直接用自然语言查询数据，无需自建定制 pipeline。研讨会最后会有现场实操，在约 20 分钟内搭出一个 agentic search 应用。报名入口为 luma.com/weaviate-u6qb。

这是 Weaviate 面向刚起步团队的入门级活动，与 pgvector 的对比部分对正在做技术选型的开发者有直接参考价值。

Original · Weaviate

Join us November 19 for a webinar on building your first agentic AI application with Weaviate! We’ll cover the questions that trip up teams getting started: which models to use, where your data should live, and whether to build or buy. You’ll learn: - How vector databases work - How a dedicated vector database compares to extensions like pgvector - How the Weaviate Query Agent handles natural-language queries over your data, with no custom pipeline We’ll close with a live demo, building an agentic search app in about 20 minutes. Save you spot today: luma.com/weaviate-u6qb

Industry Coordinates & Source Verification

This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Weaviate, Query Agent, pgvector, 向量数据库.

Source attribution: curated from Weaviate (@weaviate_io). Cross-source corroboration: 2 independent sources have covered this development (including CoreWeave), confirming industry-wide signal strength.

#Weaviate#Query Agent#pgvector#向量数据库#智能体

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