Generate Text Embeddings from chat query and retrieve the data from Supabase vector table

How can I implement generating Text Embeddings using OpenAI model from chat query and retrieve the data from Supabase vector table based on embedding vector values.

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Welcome to the community @Samrat_Shakya :tada:
Using this workflow template as a base and using the Supabase vector store instead of the Pinecone vector strore could be a good place to start: Ask questions about a PDF using AI | n8n workflow template

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