vector_quantize

Active

Tool of IA-QA — 130+ QA & Dev Tools for AI Agents

declared in 1.0.0

Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.

Parameters schema

{
  "type": "object",
  "required": [
    "vector"
  ],
  "properties": {
    "bits": {
      "type": "number",
      "description": "Quantization bits: 8 (int8, default) or 4 (int4)"
    },
    "vector": {
      "type": "array",
      "items": {
        "type": "number"
      },
      "description": "Float32 vector to quantize"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.70.

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https://github.com/jcjamet/ia-qa

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