- Added pgvector-go dependency for vector operations.
- Implemented embedding generation using OpenAI API in a new service.
- Enhanced CodeSnippetRepo to support semantic search using vector similarity.
- Updated CodeSnippetUsecase to generate embeddings during snippet creation.
- Added methods for semantic search by workspace and general semantic search.
- Improved error handling and logging for embedding generation and vector search.
- Removed unnecessary debug logs in socket handlers for cleaner output.
feat: enhance CodeSnippet functionality with workspacePath for improved context and semantic search
feat: add embedding and workspace path fields to CodeSnippet for semantic search functionality
feat: enhance SemanticSearchByWorkspace to include cosine similarity score in results
feat: 优化心跳处理逻辑，支持多种数据类型
refactor: 修复日志记录
feat: add migration for embedding and workspace_path columns in code_snippets table
- Added WorkspaceFileHandler for handling workspace file operations including create, update, delete, and list functionalities.
- Introduced WorkspaceFileRepo for database interactions related to workspace files.
- Created WorkspaceFileUsecase to encapsulate business logic for workspace file management.
- Implemented API endpoints for workspace file operations with appropriate request and response structures.
- Added database migrations for creating workspaces and workspace_files tables with necessary constraints and indexes.
- Enhanced user authentication and authorization for workspace file operations.
