semantic_search
Find entities in your knowledge graph by semantic meaning. Vector embeddings and similarity scoring return relevant results beyond exact keyword matches.
Instructions
Search for entities semantically using vector embeddings and similarity in your Memento MCP knowledge graph memory
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"query": "<query>"
},
"name": "semantic_search"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of results to return (default: 10) | |
| query | Yes | The text query to search for semantically | |
| entity_types | No | Filter results by entity types | |
| hybrid_search | No | Whether to combine keyword and semantic search (default: true) | |
| min_similarity | No | Minimum similarity threshold from 0.0 to 1.0 (default: 0.6) | |
| semantic_weight | No | Weight of semantic results in hybrid search from 0.0 to 1.0 (default: 0.6) |