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by LeGenAI
DATABASE_FIX_SUMMARY.md2.93 kB
# Database Setup Issues and Solutions ## Current Status After checking your Supabase database, I found the following issues: ### 1. **Tables Exist But Are Empty** - ✅ `magma_documents_v2` table exists - ✅ `magma_functions` table exists - ❌ Both tables have 0 records ### 2. **SQL Functions Are Missing** - ❌ `search_magma_hybrid` - Main hybrid search function (NOT FOUND) - ❌ `search_magma_functions` - Function search (NOT FOUND) - ❌ `search_magma_documents` - Document search (NOT FOUND) - ❌ `update_content_tsvector` - Trigger function (NOT FOUND) - ✅ `cleanup_search_cache` - Only this function exists ### 3. **No Documents Have Embeddings** - The benchmark is getting 0 results because: 1. No documents are indexed 2. The search functions don't exist ## Root Cause The `schema-v2.sql` file was only partially applied. It seems only the table definitions were created, but the functions, triggers, and indexes were not created. ## Solution ### Option 1: Complete Schema Setup (Recommended) 1. **Apply the complete schema via Supabase Dashboard:** ```bash # Go to: https://supabase.com/dashboard/project/euwbfyrdalddpbnqgjoq # Navigate to: SQL Editor # Copy and paste the entire contents of: supabase/schema-v2.sql # Execute the SQL ``` 2. **Run the advanced indexer to populate data:** ```bash npm run index-advanced ``` 3. **Verify the setup:** ```bash node check-database-state.js ``` 4. **Run the benchmark:** ```bash npm run benchmark ``` ### Option 2: Quick Fix for Testing If you just want to test that the connection works, create a simple wrapper: ```sql -- Run this in Supabase SQL Editor CREATE OR REPLACE FUNCTION hybrid_search( query TEXT, match_count INTEGER DEFAULT 5 ) RETURNS TABLE( id BIGINT, title TEXT, content TEXT, similarity DOUBLE PRECISION ) LANGUAGE sql AS $$ SELECT id, COALESCE(metadata->>'title', 'Document ' || id) as title, content, 1.0::DOUBLE PRECISION as similarity FROM magma_documents_v2 WHERE content ILIKE '%' || query || '%' LIMIT match_count; $$; ``` ## Commands Summary ```bash # 1. Build the project npm run build # 2. Index the handbook (after schema is fixed) npm run index-advanced # 3. Check database state node check-database-state.js # 4. Run quality benchmark npm run benchmark ``` ## Expected Results After Fix When everything is working correctly, you should see: 1. **check-database-state.js output:** - Total documents: > 0 - Total functions: > 0 - hybrid_search function works - Documents have embeddings 2. **Benchmark results:** - Average Relevance Score: > 70% - Results per query: > 0 - No errors calling hybrid_search The main issue is that the SQL functions defined in `schema-v2.sql` need to be executed in your Supabase database. Once that's done and documents are indexed, the benchmark should work correctly.

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