knowledge_reindex
Re-embed all stored vectors after changing the embedding model or dimension, migrating the existing store in place instead of wiping and re-ingesting. Searches pause during the run; re-run to resume.
Instructions
Re-embed every stored vector for the currently configured EMBEDDING_PROVIDER/MODEL. Use after changing the embedding model or dimension to migrate the existing store in place instead of wiping and re-ingesting. Searches are blocked while it runs; re-run to resume after an interruption.
Tool call template
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "knowledge_reindex"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| batch_size | No | Chunks embedded per transaction. Lower uses less memory, higher is faster. |