Automate Your Document Processing with Supabase and LangChain
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Streamline your document management by automatically fetching, processing, and embedding files from Supabase storage. This workflow leverages n8n, Supabase, and LangChain to transform your raw documents into searchable and embeddable data.
About This Workflow
This n8n workflow automates the process of ingesting documents stored in Supabase. It begins by retrieving a list of all files from your Supabase storage. Each file is then downloaded, and its content is extracted. For PDF documents, a dedicated extraction node is used. The extracted text is then prepared for embedding using a data loader and a recursive character text splitter to manage chunk sizes. Finally, OpenAI embeddings are generated for the processed text, and metadata linking the embeddings back to the original file in Supabase is created. This workflow is ideal for building AI-powered applications that require efficient document ingestion and analysis.
Key Features
- Automated File Fetching: Connects to Supabase storage to retrieve all files.
- Content Extraction: Handles various document types, including PDFs.
- Intelligent Text Splitting: Divides large documents into manageable chunks for embedding.
- OpenAI Embeddings: Generates vector representations of your document content.
- Metadata Association: Links embeddings back to their original files in Supabase.
How To Use
- Connect Supabase: Configure the 'Supabase account My Airtable Gen' credential with your Supabase API key and URL.
- Connect OpenAI: Configure the 'OpenAi account' credential with your OpenAI API key.
- Configure 'Get All files' Node: Ensure the URL points to your Supabase storage bucket (
/storage/v1/object/list/private). - Configure 'Download' Node: Verify the URL correctly references your private storage path, including the file name.
- Configure 'Extract Document PDF' Node: Ensure it's correctly placed after the download node if you are processing PDFs.
- Configure 'Default Data Loader' and 'Recursive Character Text Splitter': Adjust
chunkSizeandchunkOverlapas needed for optimal text processing. - Configure 'Embeddings OpenAI': Select your preferred OpenAI embedding model.
- Configure 'Create File record2' Node: Ensure it correctly maps the file name and storage ID to your Supabase 'files' table.
Apps Used
Workflow JSON
{
"id": "7a1c7423-13b0-4417-86d2-8536d3d21bc6",
"name": "Automate Your Document Processing with Supabase and LangChain",
"nodes": 22,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 7a1c7423-13b0...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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