zerodb_store_vector
Store vector embeddings with metadata for AI memory and semantic search. Accepts 1536-dimensional vectors with document content and metadata for persistent storage and retrieval.
Instructions
Store vector embedding with metadata (must be exactly 1536 dimensions)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| document | Yes | Source document | |
| metadata | No | Document metadata | |
| namespace | No | Vector namespace | windsurf |
| vector_embedding | Yes | Vector embedding (exactly 1536 dimensions required) |
Input Schema (JSON Schema)
{
"properties": {
"document": {
"description": "Source document",
"type": "string"
},
"metadata": {
"description": "Document metadata",
"type": "object"
},
"namespace": {
"default": "windsurf",
"description": "Vector namespace",
"type": "string"
},
"vector_embedding": {
"description": "Vector embedding (exactly 1536 dimensions required)",
"items": {
"type": "number"
},
"maxItems": 1536,
"minItems": 1536,
"type": "array"
}
},
"required": [
"vector_embedding",
"document"
],
"type": "object"
}