Skip to content
FlowHubFluxonLab
Supabase
RAG & Knowledge Basesfree

Smarter RAG Agents with Enriched Retrieval, Filters & Memory by Ascuncia

by Alejandro ScunciaUpdated Aug 2026
RequiresSupabaseSupabaseGoogle Gemini
Share Post Share
DDDefault Data LoaderDefault Data Lo…TSRecursive Character Text SplitterRecursive Chara…Delete Old Doc RowsDelete Old Doc …ChWhen chat message receivedWhen chat messa…VSInsert into Supabase VectorstoreInsert into Sup…EGEmbeddings Google Gemini1Embeddings Goog…FoOn form submissionOn form submiss…EFExtract from FileExtract from Fi…SILoop Over ItemsGet many rowsUpdate a rowMeMergeWaWaitSeSet File DataMetadata ObtentionMetadata Obtent…ScSchedule TriggerSeEdit FieldsQuery BuilderAgRAG AgentRCRerankerGoogle Gemini 2.0 FlashGoogle Gemini 2…MPPostgres Chat MemoryPostgres Chat M…EGEmbeddings Google GeminiEmbeddings Goog…VSSupabase Vector StoreSupabase Vector…123456789
1/5
FLOWS
STEPS · 9
Starts on an incoming request

On a chat message, answers questions with a Gemini RAG agent over a Supabase vector store, using Cohere reranking and Postgres memory.

Tags

webhookadvancedSupabaseGoogle GeminiInternal WikiAI RAGdiscoveredpending-review
Connects
supabaseSupabaseGoogle Gemini
CategoryRAG & Knowledge Bases
Triggerwebhook
Complexityadvanced
Nodes24
AddedJun 27, 2026