[Summary] Good AI/LLM Tasks for Newcomers

[imbajin]

Small Tasks: (新手村任务)

• support rag platform containerization (Dockerfile)
• fix some tiny bug (like handle some exception / empty case)
  • enable auto-restart/reload code in fastapi (refer here)
• improve some RAG function UT(tests)
• ....
• support log output in RAG platform feat(llm): support log_block in RAG platform & rest-api #110
  • step1: reading static log file (like rest-api -> ip:port/logs)
  • step2: reading rolling logs (like tail -f)
• enhance the vertexid (vid) vector index rebuilding process (To rebuild it more user-friendly & no need to clear graph data together) #160
  

Tiny Task

• should handle empty keywords case(keywords = []), currently we will match all vertexes (wrong fallback)
• handle fuzzy match vid empty case (keywords exists but no matched vid)
• show vertex/edge count in UI/platform (async use g.V().count() / g.E().count()) & graph info button

[diya-he]

Apply for the first and third tasks