Add Qdrant and ChromaDB support to the project

- Added Qdrant service to both docker-compose files for production and development.
- Updated environment variables in .env.example and settings.py to include Qdrant configuration.
- Included necessary dependencies for Qdrant and ChromaDB in requirements.txt.
- Updated .gitignore to exclude ChromaDB data files.

config/rag_config.yaml

@@ -0,0 +1,23 @@
+# 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"