Effortless Document Vectorization and Storage with Supabase and OpenAI Embeddings
This workflow automates the process of fetching documents from Supabase storage, splitting their contents into manageable tokens, generating vector embeddings using OpenAI, and storing these embeddings back into a Supabase vector store for powerful semantic search capabilities.
Workflow Visualization
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