347 lines
12 KiB
JSON
347 lines
12 KiB
JSON
{
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"createdAt": "2025-11-03T05:52:50.096Z",
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"updatedAt": "2025-11-06T07:09:04.000Z",
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"id": "Gv1K2TT3mFsk78a1",
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"name": "Tunrda-Agent",
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"active": false,
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"isArchived": false,
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"nodes": [
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{
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"parameters": {
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"formTitle": "Upload your data to test RAG",
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"formFields": {
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"values": [
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{
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"fieldLabel": "Upload your file(s)",
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"fieldType": "file",
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"acceptFileTypes": ".pdf, .csv",
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"requiredField": true
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}
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]
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},
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"options": {}
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},
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"id": "d0b0c992-3740-4f0f-b7fd-4f3b2c2d48ee",
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"name": "Upload your file here",
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"type": "n8n-nodes-base.formTrigger",
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"position": [
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544,
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112
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],
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"webhookId": "82848bc4-5ea2-4e5a-8bb6-3c09b94a8c5d",
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"typeVersion": 2.2
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},
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{
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"parameters": {
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"options": {}
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},
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"id": "4fc375d3-e6a5-41e6-9013-62a8023a48e6",
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"name": "Embeddings OpenAI",
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"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
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"position": [
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896,
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576
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],
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"typeVersion": 1.2,
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"credentials": {
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"openAiApi": {
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"id": "0aLJYVCIXPIQZb1L",
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"name": "OpenAi account"
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}
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}
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},
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{
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"parameters": {
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"dataType": "binary",
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"options": {
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"splitPages": true,
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"metadata": {
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"metadataValues": [
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{
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"name": "filename",
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"value": "={{ $json['Upload your file(s)'][0].filename }}"
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}
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]
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}
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}
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},
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"id": "6a2dc092-c0fb-4447-aa88-21551898eec4",
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"name": "Default Data Loader",
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"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
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"position": [
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1056,
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304
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],
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"typeVersion": 1.1
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},
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{
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"parameters": {
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"content": "### Readme\nLoad your data into a vector database with the 📚 **Load Data** flow, and then use your data as chat context with the 🐕 **Retriever** flow.\n\n**Quick start**\n1. Click on the `Execute Workflow` button to run the 📚 **Load Data** flow.\n2. Click on `Open Chat` button to run the 🐕 **Retriever** flow. Then ask a question about content from your document(s)\n\n\nFor more info, check our [docs on RAG in n8n](https://docs.n8n.io/advanced-ai/rag-in-n8n/)",
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"height": 300,
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"width": 440,
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"color": 4
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},
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"id": "c6b85f4f-6e31-4967-ba44-9889625dc193",
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"name": "Sticky Note",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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0,
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0
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],
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"typeVersion": 1
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},
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{
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"parameters": {
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"content": "### 📚 Load Data Flow",
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"height": 460,
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"width": 700,
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"color": 7
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},
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"id": "618566c2-66eb-47c7-95ea-49eae760d466",
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"name": "Sticky Note1",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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480,
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0
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],
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"typeVersion": 1
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},
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{
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"parameters": {
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"options": {
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"systemMessage": "You are a service assistant for the Toyota Tundra. You should answer questions using the content retrieved from the Qdrant vector database. If additional information is available outside of Qdrant data base, you can use that but must highlight that it is external.\n\nThis Qdrant content is retrieved using the Qdrant vector retrieval tool and provided to you as context for each question.\n\nIf you cannot find a suitable answer within that content, clearly state that the information is not available in the official Tundra Service Manual. You can provide additional information that you have available, but it must be highlighted as from external sources.\n\nIf you choose to include information from outside sources, clearly mark it with a prefix such as \"[External Source]\" and explain that it is not part of the official service manual.\n\nAlways prioritize precision and technical accuracy. Do not hallucinate content. When in doubt, explain that the source does not contain the requested information."
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}
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},
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"id": "e13e2101-7a99-480d-8875-29daa76f8fc9",
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"name": "AI Agent",
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"type": "@n8n/n8n-nodes-langchain.agent",
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"position": [
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1600,
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48
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],
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"typeVersion": 2
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},
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{
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"parameters": {
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"options": {}
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},
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"id": "0f5b3f46-9957-40ea-8f60-a4408f44aa1a",
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"name": "When chat message received",
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"type": "@n8n/n8n-nodes-langchain.chatTrigger",
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"position": [
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1392,
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48
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],
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"webhookId": "4091fa09-fb9a-4039-9411-7104d213f601",
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"typeVersion": 1.1
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},
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{
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"parameters": {
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"model": {
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"__rl": true,
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"value": "gpt-4.1",
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"mode": "list",
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"cachedResultName": "gpt-4.1"
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},
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"options": {}
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},
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"id": "e44aa972-dc53-4c0b-acec-2cbd0bf871b2",
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"name": "OpenAI Chat Model",
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"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"position": [
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1488,
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272
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],
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"typeVersion": 1.2,
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"credentials": {
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"openAiApi": {
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"id": "0aLJYVCIXPIQZb1L",
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"name": "OpenAi account"
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}
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}
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},
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{
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"parameters": {
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"content": "### 🐕 2. Retriever Flow",
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"height": 460,
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"width": 680,
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"color": 7
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},
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"id": "0a20cd13-8387-41ec-96a8-bb0f55a442f2",
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"name": "Sticky Note2",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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1264,
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0
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],
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"typeVersion": 1
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},
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{
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"parameters": {
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"content": "### Embeddings\n\nThe Insert and Retrieve operation use the same embedding node.\n\nThis is to ensure that they are using the **exact same embeddings and settings**.\n\nDifferent embeddings might not work at all, or have unintended consequences.\n",
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"height": 240,
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"width": 320,
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"color": 4
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},
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"id": "b8216591-b2eb-4bc6-bc7e-232fbcf06e4d",
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"name": "Sticky Note3",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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1328,
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512
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],
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"typeVersion": 1
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},
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{
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"parameters": {
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"mode": "insert",
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"qdrantCollection": {
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"__rl": true,
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"value": "tundra_manual",
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"mode": "list",
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"cachedResultName": "tundra_manual"
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},
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"options": {}
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},
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"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
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"typeVersion": 1.3,
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"position": [
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832,
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],
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"id": "f5a69d68-41c6-4960-9395-218ed3e49d26",
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"name": "Qdrant Vector Store",
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"credentials": {
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"qdrantApi": {
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"id": "BupghMUIxcl7g7Zv",
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"name": "QdrantApi account"
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}
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}
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},
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{
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"parameters": {
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"mode": "retrieve-as-tool",
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"toolDescription": "This tool allows you to access the Qdrant Vector database for RAG Operations.",
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"qdrantCollection": {
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"__rl": true,
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"value": "tundra_manual",
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"mode": "list",
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"cachedResultName": "tundra_manual"
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},
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"options": {}
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},
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"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
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"typeVersion": 1.3,
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"position": [
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1664,
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],
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"id": "e79c15be-1825-4449-bdc5-e2df88e608cf",
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"name": "Qdrant Vector Retrieval",
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"credentials": {
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"qdrantApi": {
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"id": "BupghMUIxcl7g7Zv",
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"name": "QdrantApi account"
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}
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}
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}
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],
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"connections": {
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"Upload your file here": {
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"main": [
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[
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{
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"node": "Qdrant Vector Store",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Embeddings OpenAI": {
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"ai_embedding": [
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[
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{
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"node": "Qdrant Vector Store",
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"type": "ai_embedding",
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"index": 0
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},
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{
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"node": "Qdrant Vector Retrieval",
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"type": "ai_embedding",
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"index": 0
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}
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]
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]
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},
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"Default Data Loader": {
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"ai_document": [
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[
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{
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"node": "Qdrant Vector Store",
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"type": "ai_document",
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"index": 0
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}
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]
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]
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},
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"When chat message received": {
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"main": [
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[
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{
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"node": "AI Agent",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"OpenAI Chat Model": {
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"ai_languageModel": [
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[
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{
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"node": "AI Agent",
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"type": "ai_languageModel",
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"index": 0
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}
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]
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]
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},
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"Qdrant Vector Retrieval": {
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"ai_tool": [
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[
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{
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"node": "AI Agent",
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"type": "ai_tool",
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"index": 0
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}
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]
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]
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},
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"Qdrant Vector Store": {
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"main": [
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[]
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]
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}
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},
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"settings": {
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"executionOrder": "v1"
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},
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"staticData": null,
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"meta": {
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"templateCredsSetupCompleted": true
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},
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"pinData": {},
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"versionId": "5f87833c-9d8d-445e-8afe-eaed1565912b",
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"triggerCount": 0,
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"shared": [
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{
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"createdAt": "2025-11-03T05:52:50.106Z",
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"updatedAt": "2025-11-03T05:52:50.106Z",
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"role": "workflow:owner",
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"workflowId": "Gv1K2TT3mFsk78a1",
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"projectId": "oI3LZpkceKxAFXfg"
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}
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],
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"tags": []
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} |