AI agent to chat with files in Supabase storage
Workflow Description
An advanced AI agent that enables interactive conversations with files stored in Supabase. The agent processes documents, splits them into chunks, generates OpenAI embeddings, stores them in a vector database, and answers queries based on file content using intelligent retrieval.
How it works
- 1.Load files from Supabase and split them into smaller text chunks
- 2.Generate OpenAI embeddings and store them in the vector store
- 3.Receive user queries through the chat interface
- 4.Retrieve relevant document chunks from the vector database
- 5.Generate accurate answers using OpenAI language model
Use cases
- Answer questions about stored document content
- Analyze multiple files and extract information
- Automate customer support using company knowledge base
- Intelligent search within file archives
Requirements
- Active Supabase account with access credentials
- Valid OpenAI API key
- Supported file formats (PDF, text, documents)
- Access to vector store service
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (33)
Get All files
HTTP Request
Default Data Loader
Document Default Data Loader
Recursive Character Text Splitter
Text Splitter Recursive Character Text Splitter
Extract Document PDF
Extract From File
Embeddings OpenAI
OpenAI
Create File record2
Supabase
If
If
Get All Files
Supabase
Download
HTTP Request
Loop Over Items
Split In Batches
When clicking ‘Test workflow’
Manual Trigger
Aggregate
Aggregate
When chat message received
Chat Trigger
OpenAI Chat Model1
OpenAI
Embeddings OpenAI2
OpenAI
OpenAI Chat Model2
OpenAI
Vector Store Tool1
Tool Vector Store
Switch
Switch
Insert into Supabase Vectorstore
Vector Store Supabase
Merge
Merge
AI Agent
Agent
Supabase Vector Store
Vector Store Supabase
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