Describe the problem/error/question
Qdrant node connected to AI Agent node can’t retrieve the data.
What is the error message (if any)?
It says Bad Request
More details:
{ “headers”: {}, “url”: “https://XXXX.cloud.qdrant.io:6333/collections/cms-pages-1-1536/points/search”, “status”: 400, “statusText”: “Bad Request”, “data”: { “status”: { “error”: “Wrong input: Collection requires specified vector name in the request, available names: website-data” }, “time”: 0.000106996 } }
However there is no way to explicitly define vector name, the node provides the interface where I selected collection, so it should know it.
Please share your workflow
{
"nodes": [
{
"parameters": {
"agent": "conversationalAgent",
"options": {
"systemMessage": "You assist visitors of Luma online store - answer the questions related with its's products and generic information available.\n\nIf asked for products available in store you must limit your suggestions with what is available in this specific store (Luma Online Store), don't make generic references.\n\nStick strictly to the facts, don't make things up."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
220,
0
],
"id": "47922534-6084-4d26-a2af-075cd4dc88ea",
"name": "AI Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {
"responseFormat": "text"
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
140,
220
],
"id": "3436fd8c-db5a-42f7-a964-b666ee1b9e9b",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"id": "23PvfovnyZJddfoj",
"name": "OpenAi account"
}
}
},
{
"parameters": {
"contextWindowLength": 10
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
260,
220
],
"id": "b62ae874-c4ce-441f-9bcd-493ce7c2aca9",
"name": "Window Buffer Memory"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.1,
"position": [
0,
0
],
"id": "373b204b-97c4-44d6-8d6a-f8f54773466b",
"name": "When chat message received",
"webhookId": "3f79263c-fb0f-4cb5-a502-85ae0ecb7ca1"
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolName": "MagentoSandbox",
"toolDescription": "Work with this data collection to find information about Luma online store products.\nUse it to answer product related questions.\nIt is the only source of data to answer about specific products that this store sells.\nStick to the facts you get, don't make things up.\n",
"qdrantCollection": {
"__rl": true,
"value": "products-1-1536",
"mode": "list",
"cachedResultName": "products-1-1536"
},
"options": {
"searchFilterJson": "{\n \"should\": [\n {\n \"key\": \"metadata.batch\",\n \"match\": {\n \"value\": 12345\n }\n }\n ]\n}"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"typeVersion": 1,
"position": [
340,
200
],
"id": "fc4cc6a7-d2e6-4488-bc76-c81cf455794a",
"name": "Qdrant Vector Store",
"credentials": {
"qdrantApi": {
"id": "rlW4tdQaSHOuJ7cD",
"name": "QdrantApi account"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
420,
380
],
"id": "fbed1d06-967c-4eab-9388-ba5cbbc4e580",
"name": "Embeddings OpenAI",
"credentials": {
"openAiApi": {
"id": "23PvfovnyZJddfoj",
"name": "OpenAi account"
}
}
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolName": "MagentoSandboxCMSPages",
"toolDescription": "Work with this data collection to find general information about Luma online store (like terms of service, shipping, return).\nUse it to answer product related questions.\nIt is the only source of data to answer about specific products that this store sells.\nStick to the facts you get, don't make things up.\n",
"qdrantCollection": {
"__rl": true,
"value": "cms-pages-1-1536",
"mode": "list",
"cachedResultName": "cms-pages-1-1536"
},
"options": {
"searchFilterJson": "{\n \"should\": [\n {\n \"key\": \"metadata.batch\",\n \"match\": {\n \"value\": 12345\n }\n }\n ]\n}"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"typeVersion": 1,
"position": [
600,
200
],
"id": "60ad3682-830a-4d49-bdeb-7f9a8ae3578d",
"name": "Qdrant Vector Store1",
"credentials": {
"qdrantApi": {
"id": "rlW4tdQaSHOuJ7cD",
"name": "QdrantApi account"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
700,
420
],
"id": "6a452450-2400-4219-84c8-2a8aac9152a1",
"name": "Embeddings OpenAI1",
"credentials": {
"openAiApi": {
"id": "23PvfovnyZJddfoj",
"name": "OpenAi account"
}
}
}
],
"connections": {
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Qdrant Vector Store": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Qdrant Vector Store1": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
}
},
"pinData": {},
"meta": {
"templateCredsSetupCompleted": true,
"instanceId": "73f6091d18251c3f0e63fd777366fa470083f649bc44bc1239d7325da9dfc99f"
}
}
Share the output returned by the last node
Information on your n8n setup
- n8n version:
1.77.3 (Self Hosted) - Database (default: SQLite):
- default
- n8n EXECUTIONS_PROCESS setting (default: own, main):
- Default
- Running n8n via (Docker, npm, n8n cloud, desktop app):
self-hosted - **Operating system:**S
Linux
