feat: implement SQL database connector with lazy engine and fallback support for project metadata loading

feat: implement database synchronization queue with SQL triggers and a background worker for automated FAISS index rebuilding.

feat: implement similarity engine with embedding generation, hybrid ranking, and explainability modules

feat: implement hybrid similarity ranking and search engine modules to improve project retrieval accuracy

fix: use connection context in load_preprocessed_projects to resolve pandas engine warnings

update

update

update

fix: lazy load database engine to prevent Docker container pyodbc import errors

update

update

update .gitignore and add scheduler and sync_projects services

update sql-connector

add fiels