- Introduced LLM configuration in rag_config.yaml and corresponding LLMConfig class in config.py.
- Updated load_rag_config function to parse LLM settings from the configuration file.
- Added new API route for RAG in urls.py to facilitate access to the chat model.
- Modified QdrantVectorStore to use query_points method for improved functionality.
- Introduced Redis service in both docker-compose files for production and development.
- Updated web and celery services to use Redis as the broker and result backend.
- Added necessary environment variables for Celery in settings.py.
- Included new tasks and soil_data apps in Django settings and updated URL routing.
- Updated requirements.txt to include Celery and Redis dependencies.
sajad-dev