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Create a Self Updating RAG Chatbot with Google Drive, Gemini, and Supabase

by Anirudh AeranUpdated Aug 2026
RequiresSupabaseSupabasePostgresPostgresGoogle DriveGoogle DriveGoogle Gemini
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RCReranker CohereVSSupabase Vector StoreSupabase Vector…AgRAG AgentGDFile CreatedGDFile UpdatedEFExtract Document TextExtract Documen…Delete Old Doc RowsDelete Old Doc …SeSet File IDEFExtract PDF TextTSCharacter Text SplitterCharacter Text …SwSwitchVSInsert into Supabase VectorstoreInsert into Sup…SILoop Over ItemsInsert Document MetadataInsert Document…DDDefault Data Loader1Default Data Lo…Download File1Get File IDsMeMergeSupabaseCoCode1ScSchedule TriggerMaWhen clicking ‘Test workflow’When clicking ‘…Delete RowsGet File IDs2Supabase2MeMerge2CoCode2Delete Rows2Search files and foldersSearch files an…MPPostgres Chat MemoryPostgres Chat M…ChWhen chat message receivedWhen chat messa…Google Gemini Chat ModelGoogle Gemini C…EGEmbeddings Google GeminiEmbeddings Goog…EGEmbeddings Google Gemini1Embeddings Goog…123456
1/5
FLOWS
STEPS · 6
Starts from a chat message

On Google Drive changes, embeds documents into Supabase with Gemini, and answers chat queries via a Postgres-backed RAG agent with Cohere reranking.

Tags

eventadvancedSupabasePostgresInternal WikiAI RAGdiscoveredpending-review
Connects
supabaseSupabasepostgresPostgresgoogledriveGoogle DriveGoogle Gemini
CategoryRAG & Knowledge Bases
Triggerevent
Complexityadvanced
Nodes34
AddedJun 27, 2026