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Semantic search using embeddings and vector storage. Search documents semantically using similarity matching.
npx skill4agent add winsorllc/upgraded-carnival rag-search{baseDir}/rag-search.js --index --path ./docs --chunk-size 500{baseDir}/rag-search.js --search "how to configure authentication"{baseDir}/rag-search.js --search "deployment steps" --limit 5| Option | Description | Required |
|---|---|---|
| Index documents | No |
| Path to documents | For index |
| Chunk size for splitting | No |
| Search query | For search |
| Max results to return | No |
| List indexed documents | No |
| Clear index | No |
{
"results": [
{
"file": "docs/config.md",
"chunk": "To configure authentication...",
"score": 0.92,
"line": 15
}
]
}