This n8n workflow automates the management, analysis, and querying of documents stored in Supabase, integrated with AI services for advanced text processing and interaction. Designed for scenarios such as document repositories, it fetches files from Supabase storage, prevents duplicates, extracts content from various formats, converts documents into vector representations for semantic search, and enables AI chat-based querying of the stored information. The workflow also supports real-time processing of files uploaded to Google Drive and handles asynchronous AI parsing jobs through LlamaIndex API, making it ideal for organizations seeking efficient knowledge base management and AI-driven data retrieval.
Automated Document Processing with Supabase and AI
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreSupabase, aggregate, googleDrive, googleDriveTrigger, httpRequest, if, manualTrigger, merge, set, splitInBatches, stickyNote, stopAndError, supabase, switch, wait, webhook |
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