Quick overview
Quick overview Placetel AI – RAG Voice Assistant with Google Drive & Supabase How it works Runs on a daily schedule at 02:00 or via manual start to reindex documents. Lists files from a specified Google Drive folder and iterates through each file. Downloads each Google Drive file, loads its text content, creates embeddings with OpenAI, and stores the resulting chunks in a Supabase vector table. Receives a question via a POST webhook with a JSON body containing chatInput. Generates an answer with GPT-4o-mini by semantically retrieving relevant passages from the Supabase vector store using the same OpenAI embeddings model. Returns the generated, source-cited response to the webhook caller for voice output. Setup Add Google Drive OAuth2 credentials and replace DEINE_ORDNER_ID in the Drive query with the folder you want to index. Add an OpenAI API credential and ensure the same embeddings model/settings are used for both indexing and querying. Create/configure a Supabase project with a documents table and the match_documents RPC/query used for vector search, then add your Supabase credentials. Copy the webhook URL from the webhook trigger and configure your calling system to POST { "chatInput": "..." } to it. An n8n automation workflow template by Placetel.
Placetel
web
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