# Reference config for the `orb_multimodal` pre-built evaluation database.
# OpenRAG Bench with a multimodal embedder; picture vectors share the text space.
# Run: evaluations run orb_multimodal --skip-db --config configs/orb_multimodal.yaml
# base_url uses the `vllm` host serving each model over an OpenAI-compatible API.

environment: development

storage:
  auto_vacuum: false

embeddings:
  model:
    provider: vllm
    name: qwen3-embedding-v-8b
    vector_dim: 4096
    multimodal: true
    base_url: http://vllm:11433/v1

reranking:
  model: null

qa:
  model:
    provider: openai
    name: gemma4-26b
    base_url: http://vllm:11432/v1
    vision: true

evaluations:
  judge:
    provider: openai
    name: Inferact/Qwen3.8-27B-NVFP4
    base_url: http://vllm:11439/v1
    temperature: 0.6
    max_tokens: 16384
    extra_body:
      top_p: 0.95
      top_k: 20
      min_p: 0
      chat_template_kwargs:
        reasoning_effort: low