💬 Dynamic website assistant with DeepSeek AI, Pinecone Vectorstore & site-based routing

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Description

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

🚀 Overview

This workflow enables a powerful AI-driven virtual assistant that dynamically responds to website queries using webhook input, Pinecone vector search, and OpenAI agents — all smartly routed based on the source website.

🔧 How It Works

  1. Webhook Trigger
    The workflow starts with a Webhook node that receives query parameters:

    • query: The user’s question
    • userId: Unique user identifier
    • site: Website identifier (e.g., test_site)
    • page: Page identifier (e.g., homepage, pricing)

  2. Smart Routing
    A Switch node directs the request to the correct AI agent based on the site value. Each AI agent uses:

    • OpenAI GPT-4/3.5 model
    • Pinecone vector store for context-aware answers
    • SQL-based memory for consistent multi-turn conversation

  3. Contextual AI Agent
    Each agent is customized per website using:

    • Site-specific Pinecone namespaces
    • Predefined system prompts to stay in scope
    • Webhook context including page, site, and userId

  4. Final Response
    The response is sent back to the originating website using the Respond to Webhook node.

🧠 Use Case

Ideal for multi-site platforms that want to serve tailored AI chat experiences per domain or page — whether it’s support, content discovery, or interactive agents.

✅ Highlights

🔗 Nodes Used

Webhook, AI Agent, Embeddings Cohere, Pinecone Vector Store, Postgres Chat Memory, OpenRouter Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup