Haoxin Li d00ce49c0d feat: integrate pgvector for semantic search and embedding generation ...

- 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

2025-08-08 15:59:41 +08:00

..

codesnippet.go

feat: integrate pgvector for semantic search and embedding generation

2025-08-08 15:59:41 +08:00

where.go

feat: integrate pgvector for semantic search and embedding generation

2025-08-08 15:59:41 +08:00