Azure AI Search vector stores are now available in n8n
Updated Dec 10, 2025
Version 1.0Would you be able to post some of your Azure AI Search and N8N configs, or show what fields and settings are needed to get a working n8n Semantic Hybrid search - I have an Azure search that returns results within the Azure AI Index Search Explorer but from n8n I just get empty results -
{ text:{"pageContent":"","metadata":{}}}Do you use the Skillsets? Sure I'm just missing a setting or mapping or something. Cheers Steve
{
"name": "Azure AI Search RAG Agent Template",
"nodes": [
{
"parameters": {
"formTitle": "Upload Documents",
"formDescription": "Upload documents to the knowledge base",
"formFields": {
"values": [
{
"fieldLabel": "Upload your file(s)",
"fieldType": "file",
"acceptFileTypes": ".pdf, .txt, .csv, .docx",
"requiredField": true
}
]
},
"options": {}
},
"name": "Upload Documents",
"type": "n8n-nodes-base.formTrigger",
"position": [
-608,
-272
],
"typeVersion": 2.2,
"id": "57652c5f-42f9-48ab-acb0-62055934abe4",
"webhookId": "7d893026-11bd-43c4-af75-e5f03d1f5b1b"
},
{
"parameters": {
"mode": "insert",
"indexName": "n8n-rag-index",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreAzureAISearch",
"typeVersion": 1.3,
"position": [
-288,
-272
],
"name": "Azure AI Search (Insert)",
"id": "b1d23873-0cc9-4f1b-9910-22600d01fc4c",
"credentials": {
"azureAiSearchApi": {
"id": "A6h7ehOFt7fkW7p1",
"name": "Azure AI Search account"
}
}
},
{
"parameters": {
"dataType": "binary",
"options": {}
},
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
-288,
-64
],
"typeVersion": 1.1,
"id": "14cd11be-7043-4752-bbd8-7f1584bb020f"
},
{
"parameters": {
"options": {}
},
"name": "Chat Trigger",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
288,
-272
],
"typeVersion": 1.1,
"id": "59f93b4f-ddcf-4945-9e49-29165e14c962",
"webhookId": "61ecb05d-0b2f-4295-be34-db31dd48517b"
},
{
"parameters": {
"options": {
"systemMessage": "You are a helpful AI assistant with access to a knowledge base.\n\nFor any question that involves facts or company knowledge, first use the vector store tool to search for relevant information.\n\nGuidelines:\n- Answer using only retrieved content and the conversation\n- When you use retrieved content, summarize it clearly\n- If retrieval returns nothing useful, say you couldn't find relevant information\n- Be concise and use bullet points when appropriate\n- Be friendly and professional"
}
},
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
608,
-272
],
"typeVersion": 2,
"id": "7c78f35b-9d3e-4748-a98e-ce7dfe1e3f1c"
},
{
"parameters": {
"model": "gpt-4o",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi",
"typeVersion": 1,
"position": [
448,
-64
],
"name": "Azure OpenAI Chat Model",
"id": "43ffa910-0367-455a-9af0-2b7e82895e86",
"credentials": {
"azureOpenAiApi": {
"id": "IHcQQX7itgANOi4k",
"name": "Azure Open AI account (foundry proj)"
}
}
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolDescription": "Retrieve relevant passages from the knowledge base. Use this tool for any question that requires factual information from uploaded documents.",
"indexName": "n8n-rag-index",
"options": {
"queryType": "hybrid"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreAzureAISearch",
"typeVersion": 1.3,
"position": [
608,
-64
],
"name": "Azure AI Search (Retrieve)",
"id": "f2b05bf1-f072-42b7-8c65-d905abe61d33",
"credentials": {
"azureAiSearchApi": {
"id": "A6h7ehOFt7fkW7p1",
"name": "Azure AI Search account"
}
}
},
{
"parameters": {
"model": "text-embedding-3-large",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsAzureOpenAi",
"typeVersion": 1,
"position": [
160,
144
],
"name": "Azure OpenAI Embeddings Model",
"id": "cdd3d4e6-1da0-4310-9a60-089b0172aa57",
"credentials": {
"azureOpenAiApi": {
"id": "IHcQQX7itgANOi4k",
"name": "Azure Open AI account (foundry proj)"
}
}
}
],
"pinData": {},
"connections": {
"Upload Documents": {
"main": [
[
{
"node": "Azure AI Search (Insert)",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Azure AI Search (Insert)",
"type": "ai_document",
"index": 0
}
]
]
},
"Chat Trigger": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Azure OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Azure AI Search (Retrieve)": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Azure OpenAI Embeddings Model": {
"ai_embedding": [
[
{
"node": "Azure AI Search (Retrieve)",
"type": "ai_embedding",
"index": 0
},
{
"node": "Azure AI Search (Insert)",
"type": "ai_embedding",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "e6a40201-49b9-4037-a44b-3a9e5723910b",
"meta": {
"templateCredsSetupCompleted": true,
"instanceId": "76af2441440fb33060b59f5292e1294b867382104a6f487d25825b036804ee76"
},
"id": "rQNFg4j4gzMtvMSb",
"tags": []
}
Hey nope we don't use any Skillsets just the Push API to insert documents with their embeddings.