An AI index of your database structure — updating only what changed

The scenario reads table structures from MySQL, turns each into a vector stored in Pinecone, and uses Supabase to update only what actually changed.

• AI gets an accurate map of your database structure
• Only changes are updated — no wasted load
• Each table is indexed as one complete context
• Reprocessing is skipped via a schema fingerprint

MySQLMySQLCrateDBDatabricksMicrosoft SQLQuestDBSnowflakeTheHive 5TimescaleDBSupabaseData tableAirtableAWS DynamoDBAzure Cosmos DBBaserowGristMicrosoft SharePointMonday.comMonica CRMМойСкладNocoDB1СSeaTableServiceNowStepikStrapiSupabaseWebflowYCLIENTSPineconePineconePostgres PGVector StoreQdrant Vector StoreEmbeddings OpenAIDefault Data LoaderPinecone Vector Store