rag-engine/rag-engine.yaml at main · render-examples/rag-engine · GitHub

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version: 1

project:
  name: rag-engine
  resource_prefix: rag

default_adapter: json
adapters:
  json:
    kind: json
    enabled: true
    batch_size: 50
    sequential: true
    config:
      path: examples/documents.json
      ignore_window: true
  gong:
    kind: gong
    enabled: false
    batch_size: 50
    sequential: true
    required_env:
      - GONG_ACCESS_KEY
      - GONG_ACCESS_KEY_SECRET
      - GONG_BASE_URL
    config:
      rate_limit_per_second: 3
      initial_load_days: 90
      lookback_hours: 24

content:
  full_text_language: english
  chunking:
    strategy: consecutive_units
    target_tokens: 500
    overlap_tokens: 80
    minimum_tokens: 80

embedding:
  profile_id: nomic-embed-v1.5
  provider: openai-compatible-private
  model: nomic-embed
  dimension: 768
  endpoint_env: EMBEDDING_SERVICE_URL
  api_key_env: EMBEDDING_API_KEY
  document_prefix: "search_document: "
  query_prefix: "search_query: "
  batch_size: 32
  input_reserve_tokens: 32
  normalized: true
  model_artifact:
    repository: blissie/nomic-embed-text-v1.5-Q4_K_M-GGUF
    filename: nomic-embed-text-v1.5-q4_k_m.gguf
    revision: 6021f75b03706ff968a5e4973098a27b39da6769
    sha256: bb8103e0792942dd309c62e68ea7e30931ba73491fb91bba0f76298e4bd7e37f
    pooling: mean
    context_tokens: 2048

mcp:
  namespace: rag
  token_env: RAG_MCP_API_KEY
  filters:
    - source_id
    - kind
    - occurred_since
    - occurred_until
    - entity