# تنظیمات RAG برای پایگاه دانش CropLogic

embedding:
  provider: "avalai"                      # Avalai API (OpenAI-compatible)
  model: "text-embedding-3-small"
  base_url: "https://api.avalai.ir/v1"
  api_key_env: "AVALAI_API_KEY"
  batch_size: 32

# فاز یک: Qdrant به‌عنوان vector store
qdrant:
  host: "localhost"       # یا qdrant در Docker
  port: 6333
  collection_name: "croplogic_kb"
  vector_size: 1536       # متناسب با text-embedding-3-small

chunking:
  max_chunk_tokens: 500
  overlap_tokens: 50

tone_file: "config/tone.txt"
knowledge_base_path: "config/knowledge_base"
user_info_path: "config/user_info"