{"product_id":"google-gemini-serpapi-supabase-for-electronic-q-a","title":"Google Gemini + SerpAPI + Supabase for Electronic Q\u0026A","description":"\u003ch3\u003eInstant answers from electronic datasheets—plus automatic web updates when your knowledge is missing\u003c\/h3\u003e\n\u003cp\u003eThis n8n workflow lets you ask electronic component questions in chat and get answers grounded in indexed PDF datasheets using \u003cstrong\u003eGoogle Gemini\u003c\/strong\u003e and a \u003cstrong\u003eSupabase vector store\u003c\/strong\u003e. If the needed information isn’t found, it automatically searches the web with \u003cstrong\u003eSerpAPI\u003c\/strong\u003e, downloads a public datasheet PDF, indexes it, and answers again from the updated knowledge base.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this workflow does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eReceives your chat message\u003c\/strong\u003e and starts a \u003cstrong\u003eGoogle Gemini\u003c\/strong\u003e-powered agent with conversation memory.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eRetrieval from Supabase:\u003c\/strong\u003e searches a Supabase vector store of embedded datasheet content to find the most relevant passages for your question.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eFallback to web search:\u003c\/strong\u003e when retrieved context is insufficient, it uses \u003cstrong\u003eSerpAPI (Google Search)\u003c\/strong\u003e to locate a public datasheet PDF URL.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eTriggers ingestion:\u003c\/strong\u003e sends the PDF URL to a separate \u003cstrong\u003e“Update Database”\u003c\/strong\u003e workflow\/tool to ingest the new document.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eUpdates the vector knowledge base:\u003c\/strong\u003e downloads the PDF, extracts text, splits it into chunks, generates \u003cstrong\u003eGoogle Gemini embeddings\u003c\/strong\u003e, and inserts chunks into the Supabase \u003cstrong\u003edatasheets\u003c\/strong\u003e vector table.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eRe-runs retrieval and answers:\u003c\/strong\u003e queries Supabase again and returns the final response using only the retrieved datasheet information.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eAnswering capacitor, resistor, regulator, and IC datasheet questions (e.g., parameters, pin functions, operating conditions).\u003c\/li\u003e\n  \u003cli\u003eReducing manual time spent searching PDFs when a team asks component-specific questions.\u003c\/li\u003e\n  \u003cli\u003eKeeping an internal electronic Q\u0026amp;A knowledge base current by automatically indexing newly found public datasheets.\u003c\/li\u003e\n  \u003cli\u003eBuilding an automation layer for SaaS operators or engineering teams that rely on accurate, source-backed component answers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eIntegrations:\u003c\/strong\u003e Google Gemini (PaLM) for chat and embeddings, \u003cstrong\u003eSupabase\u003c\/strong\u003e vector store (with vector extension and \u003ccode\u003ematch_documents\u003c\/code\u003e RPC), \u003cstrong\u003eSerpAPI\u003c\/strong\u003e for Google Search.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNodes\/tools used:\u003c\/strong\u003e sticky note, http request, \u003ccode\u003en8nn8n-nodes-langchainchat\u003c\/code\u003e, \u003ccode\u003en8nn8n-nodes-langchainagent\u003c\/code\u003e, extract from file, http request tool.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eWorkflow components:\u003c\/strong\u003e chat agent with memory, retrieval pipeline, PDF URL fallback, and a dedicated “Update Database” ingestion path.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"N8N Commerce","offers":[{"title":"Default Title","offer_id":45767897907379,"sku":"N8N-17877","price":43.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0749\/6279\/6723\/files\/rqTJOmZBKmjwHmUTq8l8Q_iNchQATO.png?v=1786093615","url":"https:\/\/buyflowscripts.com\/products\/google-gemini-serpapi-supabase-for-electronic-q-a","provider":"N8N Commerce","version":"1.0","type":"link"}