agentuity-cli-cloud-vector-search
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
安装与使用
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。
查看来源 ↗使用指南技能说明
Cloud Vector Search
Search for vectors using semantic similarity
Prerequisites
- Authenticated with
agentuity auth login
Usage
agentuity cloud vector search <namespace> <query> [options]
Arguments
| Argument | Type | Required | Description |
|---|---|---|---|
<namespace> |
string | Yes | - |
<query> |
string | Yes | - |
Options
| Option | Type | Required | Default | Description |
|---|---|---|---|---|
--limit |
number | Yes | - | maximum number of results to return (default: 10) |
--similarity |
number | Yes | - | minimum similarity threshold (0.0-1.0) |
--metadata |
string | Yes | - | filter by metadata (format: key=value or key1=value1,key2=value2) |
Examples
Search for similar products:
bunx @agentuity/cli vector search products "comfortable office chair"
Search knowledge base:
bunx @agentuity/cli vector list knowledge-base "machine learning"
Limit results:
bunx @agentuity/cli vector search docs "API documentation" --limit 5
Set minimum similarity:
bunx @agentuity/cli vector search products "ergonomic" --similarity 0.8
Filter by metadata:
bunx @agentuity/cli vector ls embeddings "neural networks" --metadata category=ai
Output
Returns JSON object:
{
"namespace": "string",
"query": "string",
"results": "array",
"count": "number"
}
| Field | Type | Description |
|---|---|---|
namespace |
string | Namespace name |
query |
string | Search query used |
results |
array | Search results |
count |
number | Number of results found |
使用示例
查看来源仓库中的使用示例与配置说明。
查看来源 ↗来源历史
- 收录时间
- 2026-01-20
- 索引更新时间
- 2026-01-26
- Branch
- main
收录与同步日期属于本站记录。源码修改历史请查看来源仓库。
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