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Google Drive RAG Pipeline

by ScraperNodeUpdated Jun 2026
RequiresOpenAIGoogle DriveGoogle DriveSupabaseSupabasePostgresPostgres
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DDDefault Data LoaderDefault Data Lo…Embeddings OpenAI1Embeddings Open…Download FileGDFile CreatedGDFile UpdatedEFExtract Document TextExtract Documen…Delete Old Doc RowsDelete Old Doc …SeSet File IDEFExtract PDF TextAgAggregateTSCharacter Text SplitterCharacter Text …SuSummarizeSwSwitchVSInsert into Supabase VectorstoreInsert into Sup…EFExtract from ExcelExtract from Ex…SeSet SchemaEFExtract from CSVSILoop Over ItemsDelete Old Data RowsDelete Old Data…Insert Document MetadataInsert Document…Insert Table RowsInsert Table Ro…Update Schema for Document MetadataUpdate Schema f…Create Document Metadata Table1Create Document…Create Document Rows Table (for Tabular Data)1Create Document…Create Documents Table and Match Function1Create Document…ChWhen chat message receivedWhen chat messa…1234567891011121314151617181920212223242526
1/5
FLOWS
STEPS · 26
Starts on a Google Drive event

On new Google Drive files, extracts and embeds content with OpenAI, then stores vectors in Supabase for chat retrieval.

Tags

eventadvancedOpenAIGoogle Drivediscoveredpending-review
Connects
OpenAIgoogledriveGoogle DrivesupabaseSupabasepostgresPostgres
CategoryRAG & Knowledge Bases
Triggerevent
Complexityadvanced
Nodes26
AddedJun 27, 2026