FEATURE REQUEST: Integrate Hybrid Database Service

[smokeyScraper]

Is your feature request related to a problem?

• Yes, it is related to a problem

Describe the feature you'd like

Integrate Hybrid Database Service

🌟 Feature Description

Migrate the existing services/vector_db and services/embedding_service with the hybrid Weaviate + Supabase database architecture. Currently, these services are implemented but not connected to the main DevRel agent workflow for semantic search and user profiling capabilities.

🔍 Problem Statement

• The embedding service (services/embedding_service/service.py) exists but is not utilized in the agent workflows
• Vector database service (services/vector_db/service.py) is configured for Supabase, but Weaviate integration is missing
• No integration between the dual database architecture (Supabase for relational data, Weaviate for vector search)

🎯 Expected Outcome

• Seamless integration of embedding generation in agent workflows
• Hybrid database architecture where:
  • Supabase stores structured user data, repositories, and interactions
  • Weaviate stores vectorized representations for semantic search
• Automatic embedding generation for new interactions and code additions

Record

• I agree to follow this project's Code of Conduct
• I want to work on implementing this feature