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shine_search

Raw hybrid retrieval over your SHINE AI data. Returns matching chunks grouped by file, no LLM synthesis.

What it does

Hybrid search (vector + BM25) with reranking. Returns the top matching chunks, grouped by file. No LLM in the loop — use this when you want the raw material rather than a synthesized answer.

Required scope

search:read

Input

Field Type Required Default Description
query string yes — The search query
limit integer no 10 Max files to return (1-25)
fileType string no — Filter by file extension (e.g. "pdf")
category string no — Filter by category tag

Output

{
  "files": [
    {
      "id": "de2e3b54-388b-47d1-a27a-445af0a7df02",
      "name": "soc2-controls.md",
      "chunks": [
        {
          "chunkIndex": 0,
          "text": "SHINE AI maintains a SOC 2 Type II attestation...",
          "score": 0.9052
        }
      ]
    }
  ]
}

When to use

  • You want to show the user raw sources, not a summary
  • You’re going to feed the chunks into your own LLM prompt
  • You need to count how many files match a topic (files.length)

Latency

Typical: 400-800ms. No LLM in the critical path.

Type to search…

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