zerodb_search_vectors
Find semantically similar vectors using cosine similarity to retrieve relevant data from vector databases. Supports namespace filtering and similarity thresholds for precise search results.
Instructions
Search vectors using semantic similarity
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max results | |
| namespace | No | Vector namespace | |
| query_vector | Yes | Query vector (exactly 1536 dimensions required) | |
| threshold | No | Similarity threshold |
Input Schema (JSON Schema)
{
"properties": {
"limit": {
"default": 10,
"description": "Max results",
"type": "number"
},
"namespace": {
"description": "Vector namespace",
"type": "string"
},
"query_vector": {
"description": "Query vector (exactly 1536 dimensions required)",
"items": {
"type": "number"
},
"maxItems": 1536,
"minItems": 1536,
"type": "array"
},
"threshold": {
"default": 0.7,
"description": "Similarity threshold",
"type": "number"
}
},
"required": [
"query_vector"
],
"type": "object"
}