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Documentation Index

Fetch the complete documentation index at: https://docs.phala.com/llms.txt

Use this file to discover all available pages before exploring further.

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Endpoint

GET https://api.redpill.ai/v1/embeddings/models
Returns models designed for vector embeddings. Use this endpoint when selecting embedding models for retrieval, RAG, clustering, or similarity search.

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Examples

curl https://api.redpill.ai/v1/embeddings/models \
  -H "Authorization: Bearer <API_KEY>"

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Response

{
  "object": "list",
  "data": [
    {
      "id": "qwen/qwen3-embedding-8b",
      "name": "Qwen3 Embedding 8B",
      "created": 1704067200,
      "input_modalities": ["text"],
      "output_modalities": ["embeddings"],
      "context_length": 32768,
      "max_output_length": 4096,
      "pricing": {
        "prompt": "0.00000001",
        "completion": "0"
      },
      "description": "Embedding model for semantic search and retrieval"
    }
  ]
}

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Response Fields

FieldDescription
idModel identifier for POST /v1/embeddings
nameHuman-readable model name
input_modalitiesInput types accepted by the model
output_modalitiesOutput types produced by the model
context_lengthMaximum input context length
max_output_lengthEmbedding dimensions or max output size
pricing.promptInput price per token
descriptionModel description and use case