{"product_id":"omnichannel-ai-support-workflow-ollama-postgres-pgvector","title":"Omnichannel AI Support Workflow: Ollama + Postgres pgvector","description":"\u003ch3\u003eTurn customer messages into governed AI replies—across chat, email, and social—using Ollama + Postgres (pgvector)\u003c\/h3\u003e\n\u003cp\u003eThis n8n omnichannel AI Support Workflow ingests inbound customer messages from multiple channels via webhook, stores and searches conversation history in Postgres with \u003cstrong\u003epgvector\u003c\/strong\u003e, and uses \u003cstrong\u003eOllama\u003c\/strong\u003e to draft a cited, guardrailed response or trigger a human handoff when needed.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this workflow does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eReceives messages\u003c\/strong\u003e from \u003cem\u003ethree webhook endpoints\u003c\/em\u003e (chat, email, or social) in a normalized payload format.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eValidates security and request size\u003c\/strong\u003e by checking a shared secret header and rejecting invalid or oversized requests with an error response.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eUpserts conversation data in Postgres\u003c\/strong\u003e, stores the inbound message, fetches recent history, and ignores duplicate provider event IDs.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eRetrieves relevant knowledge\u003c\/strong\u003e: generates an embedding for the customer message using \u003cstrong\u003eOllama\u003c\/strong\u003e and runs \u003cstrong\u003epgvector similarity search\u003c\/strong\u003e in Postgres to pull the top published knowledge snippets.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eClassifies intent + drafts a JSON reply\u003c\/strong\u003e in Ollama using the message, recent conversation history, and retrieved knowledge (including citations).\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eApplies guardrails\u003c\/strong\u003e to force human escalation for sensitive requests, missing approved citations, low confidence, or when a conversation is already waiting for human support.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eRoutes the outcome\u003c\/strong\u003e: creates a handoff record in Postgres and notifies a \u003cem\u003ehuman-queue webhook\u003c\/em\u003e for escalation; otherwise records the outbound reply, sends it via a \u003cem\u003ereply-webhook channel adapter\u003c\/em\u003e, and returns a 200 acknowledgment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eHelpdesk automation for SaaS support teams who want consistent AI assistance across \u003cstrong\u003echat, email, and social\u003c\/strong\u003e.\u003c\/li\u003e\n  \u003cli\u003eAI support with citation requirements—auto-escalate when answers can’t be backed by approved knowledge.\u003c\/li\u003e\n  \u003cli\u003eOmnichannel customer experience where conversation context and deduping are handled in \u003cstrong\u003ePostgres\u003c\/strong\u003e with vector search.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003en8n nodes\/tools\u003c\/strong\u003e: \u003ccode\u003ewebhook\u003c\/code\u003e, \u003ccode\u003erespond to webhook\u003c\/code\u003e, \u003ccode\u003eif\u003c\/code\u003e, \u003ccode\u003ecode\u003c\/code\u003e, \u003ccode\u003epostgres\u003c\/code\u003e, and \u003ccode\u003eHTTP Request\u003c\/code\u003e.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAI + retrieval\u003c\/strong\u003e: \u003cstrong\u003eOllama\u003c\/strong\u003e for embeddings and chat completion; \u003cstrong\u003ePostgres pgvector\u003c\/strong\u003e for similarity search.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCore tables\u003c\/strong\u003e: creates required tables such as \u003ccode\u003ecs_conversations\u003c\/code\u003e (and related conversation\/message storage).\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"N8N Commerce","offers":[{"title":"Default Title","offer_id":45747800015027,"sku":"N8N-17661","price":21.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0749\/6279\/6723\/files\/DYl_I1563YKk-w1J2peGk_8KxDmWEd.png?v=1785488574","url":"https:\/\/buyflowscripts.com\/products\/omnichannel-ai-support-workflow-ollama-postgres-pgvector","provider":"N8N Commerce","version":"1.0","type":"link"}