alibabacloud-oss-manage-metaquery

Official

OSS vector search with AI content awareness.

Authoraliyun
Version1.0.0
Installs0

System Documentation

What problem does it solve?

OSS users need an integrated, scalable way to index, search, and retrieve content from OSS using both semantic vector search and AI content understanding. This Skill provides a ready-to-run workflow to enable and query MetaQuery on OSS buckets, enabling richer results with AI-generated metadata.

Core Features & Use Cases

  • Semantic search over images, videos, audio, and documents stored in OSS using vector indexes.
  • AI content awareness for media assets to generate descriptive metadata (description, concise summaries).
  • Lifecycle management of MetaQuery (open, query, status, close) for production-grade data indexing and retrieval.
  • Use Case: A media team wants to index thousands of OSS files and rapidly locate assets matching a semantic query (e.g., "video of a city skyline") and view AI-generated metadata.
  • Use Case: Data analysts want to perform scalar and vector hybrid searches to filter assets by size, creation time, or tags while maintaining semantic relevance.

Quick Start

Run the Python script to enable MetaQuery with vector search and content awareness for your OSS bucket.

Dependency Matrix

Required Modules

oss2alibabacloud-credentials

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: alibabacloud-oss-manage-metaquery
Download link: https://github.com/aliyun/alibabacloud-aiops-skills/archive/main.zip#alibabacloud-oss-manage-metaquery

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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