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agentuity-cli-cloud-vector-search

Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations

agentuity☆ 4 Repository stars1 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

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

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

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