index-vectors
Index project files for semantic search by generating vector embeddings, supporting providers like OpenAI, Azure, and Gemini, with options to specify paths and force re-indexing.
Instructions
Index project files for semantic search using vector embeddings
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| force | No | Force re-indexing of all files | |
| path | No | Project path to index (defaults to current directory) | |
| provider | No | Embedding provider to use (defaults to configured provider) |
Input Schema (JSON Schema)
{
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"force": {
"description": "Force re-indexing of all files",
"type": "boolean"
},
"path": {
"description": "Project path to index (defaults to current directory)",
"type": "string"
},
"provider": {
"description": "Embedding provider to use (defaults to configured provider)",
"enum": [
"openai",
"azure",
"gemini"
],
"type": "string"
}
},
"type": "object"
}