40
A2A
Handle AI customer support chats via WhatsApp, web chat, Ollama, and Qdrant
n8n-workflow-18825.n8n.io
· n8n.io
Quick overview This workflow provides AI-powered customer support for WhatsApp and an n8n web chat, using Ollama for responses, Redis for deduplication and conversation memory, Qdrant for RAG knowledge retrieval, and Google Sheets for product/property lookups plus lead and ticket creation. How it works 1. Triggers when a new message arrives from either the n8n Web Chat webhook or the WhatsApp Business Cloud webhook. 2. For WhatsApp messages, filters to real incoming text messages and uses Redis to deduplicate by message ID before continuing. 3. Normalizes both channels into a shared format, applies your business configuration, and checks Redis to see whether the conversation has been seen before. 4. If the incoming message is only a greeting, sends a short welcome tailored for new vs returning conversations and marks the conversation as seen in Redis. 5. Otherwise, uses an Ollama-powered AI agent with Redis chat memory and optional Qdrant retrieval to answer, and can read Products/Prop
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Trust score
19/100
grade F · 9 criteria
Uptime
not measured
no direct probes in 30d
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
changed
0 snapshots tracked
Owner
unverified
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F
Conformance score: 19/100
F-grade: card is reachable but fails most operational signals.
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F
Conformance score: 19/100
F-grade: card is reachable but fails most operational signals.
pass
Valid AgentCard
10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
info
Live JSON-RPC
0/25
Live probe hasn't run yet.
fail
Protocol version
0/10
No protocolVersion in card.
How to earn +10 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` (Major.Minor, no patch number — §3.6) to every entry in `supportedInterfaces[]`. A2A v1.0 removed the AgentCard root field.
Docs →
info
JWS signature
0/10
Card is unsigned (most published agents are).
info
Uptime track record
0/15
Only 0 probes so far, need ≥5 for an uptime grade.
fail
Skill declaration
0/10
No skills declared in card. Hard to route to.
How to earn +10 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags` — `description` and `tags` are REQUIRED on AgentSkill since A2A v1.0, and tags are what discovery filters match on. We canonicalise these into the global skill taxonomy on next probe.
Docs →
partial
Verified Identity
5/10
Provider declared: n8n.io (https://n8n.io). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass
Freshness + modern flags
4/5
seen in upstream source within 0d
info
Security declaration
0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.
⚠ Card drift detected. This agent's
agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
Uptime
not measured
0 direct probes · 30d
Response
—
no direct probe retained
Skills
0
declared
Streaming
—
SSE-capable
Endpoints
| Agent card | https://n8n.io/workflows/18825 |
| Provider | https://n8n.io |
| Docs | https://n8n.io/workflows/18825 |
Discovered via
n8n_workflows
Health · last 0 probes
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Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
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"color": "#FFD233"
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"icon": "fa:robot",
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{
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"icon": "file:redis.svg",
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"name": "AI"
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{
"id": 26,
"name": "Langchain"
}
]
},
{
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"icon": "fa:grip-lines-vertical",
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"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Text Splitters"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Recursive Character Text Splitter"
},
"iconData": {
"icon": "grip-lines-vertical",
"type": "icon"
},
"displayName": "Recursive Character Text Splitter",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1225,
"icon": "file:form.svg",
"name": "n8n-nodes-base.formTrigger",
"codex": {
"data": {
"alias": [
"table",
"submit",
"post"
],
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Other Trigger Nodes"
]
}
}
},
"group": "[\"trigger\"]",
"defaults": {
"name": "On form submission"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "n8n Form Trigger",
"typeVersion": 3,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1243,
"icon": "file:binary.svg",
"name": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.documentdefaultdataloader/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Document Loaders"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Default Data Loader"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI3NjgiIGhlaWdodD0iMTAyNCI+PHBhdGggZmlsbD0iIzdEN0Q4NyIgZD0iTTAgOTYwVjY0aDU3NmwxOTIgMTkydjcwNHptNzA0LTY0MEw1MTIgMTI4SDY0djc2OGg2NDB6TTMyMCA1MTJIMTI4VjI1NmgxOTJ6bS02NC0xOTJoLTY0djEyOGg2NHptMCA0NDhoNjR2NjRIMTI4di02NGg2NFY2NDBoLTY0di02NGgxMjh6bTI1Ni0zMjBoNjR2NjRIMzg0di02NGg2NFYzMjBoLTY0di02NGgxMjh6bTY0IDM4NEgzODRWNTc2aDE5MnptLTY0LTE5MmgtNjR2MTI4aDY0eiIvPjwvc3ZnPg=="
},
"displayName": "Default Data Loader",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1247,
"icon": "fa:comments",
"name": "@n8n/n8n-nodes-langchain.chatTrigger",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.chattrigger/"
}
]
},
"categories": [
"Core Nodes",
"Langchain"
]
}
},
"group": "[\"trigger\"]",
"defaults": {
"name": "When chat message received"
},
"iconData": {
"icon": "comments",
"type": "icon"
},
"displayName": "Chat Trigger",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1248,
"icon": "file:qdrant.svg",
"name": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Vector Stores",
"Tools",
"Root Nodes"
],
"Tools": [
"Other Tools"
],
"Vector Stores": [
"Other Vector Stores"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Qdrant Vector Store"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Qdrant Vector Store",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1252,
"icon": "file:ollama.svg",
"name": "@n8n/n8n-nodes-langchain.embeddingsOllama",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsollama/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Embeddings"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Embeddings Ollama"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Embeddings Ollama",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1260,
"icon": "file:whatsapp.svg",
"name": "n8n-nodes-base.whatsAppTrigger",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.whatsapptrigger/"
}
],
"credentialDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/credentials/whatsapp/"
}
]
},
"categories": [
"Communication"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"trigger\"]",
"defaults": {
"name": "WhatsApp Trigger"
},
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},
"displayName": "WhatsApp Trigger",
"typeVersion": 1,
"nodeCategories": [
{
"id": 6,
"name": "Communication"
}
]
}
]
},
"detail": {
"description": "Quick overview This workflow provides AI-powered customer support for WhatsApp and an n8n web chat, using Ollama for responses, Redis for deduplication and conversation memory, Qdrant for RAG knowledge retrieval, and Google Sheets for product/property lookups plus lead and ticket creation. How it works 1. Triggers when a new message arrives from either the n8n Web Chat webhook or the WhatsApp Business Cloud webhook. 2. For WhatsApp messages, filters to real incoming text messages and uses Redis to deduplicate by message ID before continuing. 3. Normalizes both channels into a shared format, applies your business configuration, and checks Redis to see whether the conversation has been seen before. 4. If the incoming message is only a greeting, sends a short welcome tailored for new vs returning conversations and marks the conversation as seen in Redis. 5. Otherwise, uses an Ollama-powered AI agent with Redis chat memory and optional Qdrant retrieval to answer, and can read Products/Properties or append Leads/Tickets in Google Sheets when appropriate. 6. Marks the conversation as seen and returns the reply to the original channel by sending a WhatsApp message or responding to the web chat. Setup 1. Connect credentials for WhatsApp Business Cloud (trigger and send), Redis, Ollama, Qdrant, and Google Sheets. 2. In the business configuration step, set your company details, default language, Google Sheet ID, and WhatsApp phone number ID. 3. Create and populate a Google Sheets workbook with the required tabs (Products, Properties, Leads, Tickets) and ensure the column names match the workflow\u2019s mappings. 4. Create a Qdrant collection named customersupportdemo (or update the workflow to your name) using the vector dimension produced by your Ollama embedding model. 5. Deploy and run the Ollama models specified (chat: qwen3:8b, embeddings: nomic-embed-text-v2-moe:latest) or update the workflow to models available in your environment. 6. Copy the WhatsApp and Web Chat webhook URLs from n8n and configure them in Meta WhatsApp and your web chat entry point as needed. Requirements - Self-hosted or cloud n8n instance with AI Agent support - WhatsApp Business Cloud account for WhatsApp messaging - Redis instance for conversation memory and message deduplication - Ollama with qwen3:8b or another compatible chat model - Qdrant vector database for knowledge retrieval - Ollama nomic-embed-text-v2-moe or another compatible embedding model - Google account with Google Sheets OAuth2 access Customization - Change company name, industry, default language and service menu in the Business Config node - Replace the Google Sheet ID with your own spreadsheet - Change the WhatsApp Phone Number ID to your Meta WhatsApp Business number - Replace qwen3:8b with another compatible Ollama model - Change the Qdrant collection name and embedding model if required - Customize Products, Properties, Leads and Tickets sheets for your business - Modify the greeting and support-agent instructions to match your brand tone Additional info This template is designed as a white-label customer-support automation starting point. It supports WhatsApp and n8n Web Chat, conversation memory, RAG knowledge retrieval, public business-data lookups, lead capture, and support-ticket/human-handoff requests. The workflow uses Ollama by default so it can run with locally hosted models. Populate the configured Qdrant collection with your own approved business knowledge before testing RAG responses. Protected customer-specific lookups such as private order, account, shipment, application, financial, medical, or other sensitive records are intentionally not included because those flows should use verified identity/OTP before exposing private information."
}
}