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
TableJSON 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) |