VER-197: [Backend] Evaluate Supabase/pgvector vs. Rememberizer for Related Snippets and Hybrid Search

[nhphong]

We want to evaluate the tradeoffs between using Supabase/pgvector and Rememberizer

So that we can determine the most effective solution for implementing full-text search capabilities for related snippets and hybrid search.

Acceptance Criteria:

1. Research and Analysis:
   • Conduct a thorough analysis of Supabase/pgvector and Rememberizer, focusing on their capabilities for full-text search and hybrid search.
   • Evaluate the integration complexity with our existing system.
   • Assess the scalability and performance of each solution, especially in handling large datasets of disinformation snippets.
   • Analyze the cost implications of implementing and maintaining each solution.
2. Comparison Metrics:
   • Provide a detailed comparison based on factors such as search accuracy, speed, scalability, ease of use, and cost.
   • Include pros and cons for each solution.
3. Recommendations:
   • Present a recommendation on which solution to pursue, backed by data and analysis.
   • Suggest next steps for implementation if applicable.

Tasks:

• [ ] Gather documentation and resources for Supabase/pgvector and Rememberizer.
• [ ] Develop a comparison matrix to evaluate the two solutions.
• [ ] Compile findings into a comprehensive report.
• [ ] Present findings and recommendations to the team for feedback.

[linear[bot]]

VER-197 [Backend] Evaluate Supabase/pgvector vs. Rememberizer for Related Snippets and Hybrid Search