agentuity-cli-cloud-vector-search
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
Voir la source ↗GuidesInstructions
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 |
Exemples
Consultez les exemples du dépôt source.
Voir la source ↗Historique source
- Date d’indexation
- 2026-01-20
- Mise à jour de l’index
- 2026-01-26
- Branch
- main
Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.
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