search-memory
Find relevant information using semantic search by querying stored vector embeddings with natural language.
Instructions
Search for information in vector database
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| maxMatches | No | Maximum number of matches to return | |
| query | Yes | The search query |
Input Schema (JSON Schema)
{
"properties": {
"maxMatches": {
"description": "Maximum number of matches to return",
"type": "number"
},
"query": {
"description": "The search query",
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
}