semantic_search
Search your knowledge graph memory using semantic vector embeddings to find entities similar to your query, with options for hybrid search, similarity thresholds, and entity type filtering.
Instructions
Search for entities semantically using vector embeddings and similarity in your Memento MCP knowledge graph memory
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| entity_types | No | Filter results by entity types | |
| hybrid_search | No | Whether to combine keyword and semantic search (default: true) | |
| limit | No | Maximum number of results to return (default: 10) | |
| min_similarity | No | Minimum similarity threshold from 0.0 to 1.0 (default: 0.6) | |
| query | Yes | The text query to search for semantically | |
| semantic_weight | No | Weight of semantic results in hybrid search from 0.0 to 1.0 (default: 0.6) |