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AI Study Assistant with RAG Google Gemini with Drive & Supabase Vector Search

by Mantaka MahirUpdated Aug 2026
RequiresGoogle GeminiPostgresPostgresGoogle DriveGoogle Drive
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EGEmbeddings Google GeminiEmbeddings Goog…VSSupabase Vector StoreSupabase Vector…MPPostgres Chat MemoryPostgres Chat M…TCCalculatorChWhen chat message receivedWhen chat messa…Google Gemini Chat ModelGoogle Gemini C…TWFolder all file to vectorFolder all file…AgStudy AgentEGEmbeddings Google Gemini4Embeddings Goog…DDDefault Data Loader2Default Data Lo…Execute a SQL queryExecute a SQL q…CoCode in JavaScriptCode in JavaScr…EWWhen Executed by Another WorkflowWhen Executed b…SILoop Over ItemsSearch files and foldersSearch files an…VSInsert into Supabase VectorstoreInsert into Sup…Download File1234567
1/5
FLOWS
STEPS · 7
Starts from a chat message

On a chat message, a Gemini RAG agent answers study questions using Supabase vector search over Google Drive documents with Postgres memory.

Tags

webhookcomplexGoogle GeminiPostgresPersonal ProductivityAI RAGdiscoveredpending-review
Connects
Google GeminipostgresPostgresgoogledriveGoogle Drive
CategoryRAG & Knowledge Bases
Triggerwebhook
Complexitycomplex
Nodes17
AddedJun 27, 2026