alighasami
3d5eaf9445
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CI: Python / Checks (push) Has been cancelled
Test: Evals Python / Workflow Comparison Python (push) Has been cancelled
Util: Check Docs URLs / check-docs-urls (push) Has been cancelled
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Test: E2E Performance / build-and-test-performance (push) Has been cancelled
Test: Workflows Nightly / Run Workflow Tests (push) Has been cancelled
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463 lines
12 KiB
JSON
463 lines
12 KiB
JSON
{
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"nodes": [
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{
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"id": "473427fa-0214-43ef-b751-39ee6daa5a3a",
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"name": "Document Upload Form",
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"type": "n8n-nodes-base.formTrigger",
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"typeVersion": 2.3,
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"position": [250, 450],
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"parameters": {
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"formTitle": "Upload Documents for RAG",
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"formDescription": "Upload PDF, CSV, or JSON files to add to the knowledge base",
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"formFields": {
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"values": [
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{
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"fieldLabel": "Upload Files",
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"fieldType": "file",
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"multipleFiles": true,
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"acceptFileTypes": ".pdf, .csv, .json",
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"requiredField": false
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}
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]
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},
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"responseMode": "onReceived",
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"options": {
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"buttonLabel": "Submit Documents",
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"appendAttribution": false
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}
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},
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"webhookId": "7e9115b4-c8ce-40a0-9442-d02af625c024"
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},
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{
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"id": "e718fcb0-e68f-4ee6-b1cd-ac413107dd04",
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"name": "Workflow Configuration",
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"type": "n8n-nodes-base.set",
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"typeVersion": 3.4,
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"position": [250, 300],
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"parameters": {
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"mode": "manual",
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"includeOtherFields": true,
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"assignments": {
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"assignments": [
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{
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"id": "id-1",
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"name": "pineconeIndex",
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"value": "<__PLACEHOLDER_VALUE__Pinecone index name__>",
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"type": "string"
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},
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{
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"id": "id-2",
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"name": "pineconeNamespace",
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"value": "documents",
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"type": "string"
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},
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{
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"id": "id-3",
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"name": "emailRecipient",
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"value": "<__PLACEHOLDER_VALUE__Email address for daily summaries__>",
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"type": "string"
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}
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]
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},
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"include": "all",
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"options": {}
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}
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},
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{
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"id": "32b53c4f-154f-48c7-a787-6e4d235c5886",
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"name": "Store Form Submissions",
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"type": "n8n-nodes-base.dataTable",
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"typeVersion": 1,
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"position": [250, 300],
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"parameters": {
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"resource": "row",
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"operation": "insert",
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"dataTableId": {
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"__rl": true,
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"mode": "list",
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"value": "FormSubmissions"
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},
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"columns": {
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"mappingMode": "autoMapInputData",
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"value": null
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}
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}
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},
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{
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"id": "5002630b-8a9f-418c-8bbb-fda5deece841",
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"name": "Text Splitter",
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"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
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"typeVersion": 1,
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"position": [250, 450],
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"parameters": {
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"chunkSize": 1000,
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"chunkOverlap": 200
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}
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},
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{
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"id": "12ad3c9b-09e8-42a3-a09a-15050fb6e617",
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"name": "Document Loader",
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"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
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"typeVersion": 1.1,
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"position": [250, 450],
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"parameters": {
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"dataType": "binary",
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"loader": "auto",
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"textSplittingMode": "custom"
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}
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},
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{
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"id": "75480e8a-dabb-4ab7-a5d3-65519d1c59c1",
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"name": "OpenAI Embeddings",
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"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
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"typeVersion": 1.2,
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"position": [250, 450],
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"parameters": {
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"model": "text-embedding-3-small"
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}
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},
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{
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"id": "a3630a75-2c51-4a88-ab8f-d4ecee55b87e",
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"name": "Insert to Pinecone",
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"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
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"typeVersion": 1.3,
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"position": [250, 300],
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"parameters": {
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"mode": "insert",
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"pineconeIndex": {
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"__rl": true,
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"mode": "id",
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"value": "={{ $('Workflow Configuration').first().json.pineconeIndex }}"
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},
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"options": {
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"pineconeNamespace": "={{ $('Workflow Configuration').first().json.pineconeNamespace }}"
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}
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}
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},
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{
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"id": "b11a8868-d2f8-4af5-a2d9-ace2daa51a20",
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"name": "Chat Trigger",
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"type": "@n8n/n8n-nodes-langchain.chatTrigger",
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"typeVersion": 1.4,
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"position": [250, 450],
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"parameters": {
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"public": true,
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"mode": "hostedChat",
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"options": {
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"appendAttribution": false
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}
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},
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"webhookId": "f5df1f38-127e-4ef7-b64d-b8caf785a2b7"
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},
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{
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"id": "9136278a-e398-4d4c-98aa-69c152b07014",
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"name": "Chat Memory",
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"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
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"typeVersion": 1.3,
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"position": [250, 450],
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"parameters": {
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"sessionIdType": "fromInput",
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"sessionKey": "={{ $json.sessionId }}",
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"contextWindowLength": 10
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}
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},
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{
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"id": "156081db-905d-4247-8264-b7e509e6a328",
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"name": "Retrieve from Pinecone",
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"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
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"typeVersion": 1.3,
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"position": [250, 300],
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"parameters": {
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"mode": "retrieve",
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"pineconeIndex": {
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"__rl": true,
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"mode": "id",
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"value": "={{ $('Workflow Configuration').first().json.pineconeIndex }}"
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},
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"options": {
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"pineconeNamespace": "={{ $('Workflow Configuration').first().json.pineconeNamespace }}"
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}
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}
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},
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{
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"id": "f6ed6977-fe24-448a-9588-a24de7658264",
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"name": "OpenAI Chat Model",
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"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"typeVersion": 1.3,
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"position": [250, 450],
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"parameters": {
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"model": {
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"__rl": true,
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"mode": "id",
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"value": "gpt-4o-mini"
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}
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}
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},
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{
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"id": "85a28100-2aa4-419b-88bf-130d801ccad4",
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"name": "RAG Chatbot Agent",
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"type": "@n8n/n8n-nodes-langchain.agent",
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"typeVersion": 3,
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"position": [250, 300],
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"parameters": {
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"promptType": "auto",
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"text": "={{ $json.chatInput }}",
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"hasOutputParser": false,
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"needsFallback": false,
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"options": {
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"systemMessage": "You are a helpful assistant that answers questions based on uploaded documents.\n\nYour task is to:\n1. Use the document_search tool to find relevant information from the uploaded documents\n2. Answer the user's question using ONLY the information retrieved from the documents\n3. If the retrieved documents do not contain enough information to answer confidently, respond with: \"I couldn't find that in the uploaded documents.\"\n4. Always cite which documents or sections you used to answer the question\n5. Be concise and accurate in your responses"
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}
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}
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},
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{
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"id": "00498b3d-756e-41a1-b7ed-b1f9a12704a1",
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"name": "Log Chat Interactions",
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"type": "n8n-nodes-base.dataTable",
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"typeVersion": 1,
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"position": [250, 300],
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"parameters": {
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"resource": "row",
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"operation": "insert",
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"dataTableId": {
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"__rl": true,
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"mode": "id",
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"value": "ChatLogs"
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},
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"columns": {
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"mappingMode": "defineBelow",
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"value": {
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"timestamp": "={{ $now.toISO() }}",
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"sessionId": "={{ $json.sessionId }}",
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"userQuery": "={{ $json.chatInput }}",
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"agentResponse": "={{ $json.output }}",
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"matchedFiles": "={{ $json.matchedFiles || 'N/A' }}"
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}
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},
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"options": {}
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}
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},
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{
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"id": "9cb17f88-b893-4290-a609-b4c24092d5c7",
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"name": "Daily Schedule",
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"type": "n8n-nodes-base.scheduleTrigger",
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"typeVersion": 1.3,
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"position": [250, 450],
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"parameters": {
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"rule": {
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"interval": [
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{
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"field": "days",
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"daysInterval": 1,
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"triggerAtHour": 9,
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"triggerAtMinute": 0
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}
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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": "ed00e71b-f7f7-4322-85bf-0c62840e40e6",
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"name": "Get Chat Logs",
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"type": "n8n-nodes-base.dataTable",
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"typeVersion": 1,
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"position": [250, 300],
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"parameters": {
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"resource": "row",
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"operation": "get",
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"dataTableId": {
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"__rl": true,
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"mode": "id",
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"value": "ChatLogs"
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},
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"returnAll": true,
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"matchType": "anyCondition",
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"filters": {}
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}
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},
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{
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"id": "1aa7c207-ef7d-404e-9b4a-d7392e1cffd4",
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"name": "Generate Summary Report",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [250, 300],
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"parameters": {
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"mode": "runOnceForAllItems",
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"language": "javaScript",
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"jsCode": "// Analyze chat logs and generate summary statistics\nconst items = $input.all();\n\n// Initialize counters\nlet totalQuestions = items.length;\nlet failedLookups = 0;\nconst fileReferences = {};\n\n// Process each chat log entry\nfor (const item of items) {\n const response = item.json.agentResponse || '';\n const matchedFiles = item.json.matchedFiles || '';\n \n // Count failed lookups (when agent couldn't find information)\n if (response.toLowerCase().includes(\"couldn't find\") || \n response.toLowerCase().includes(\"don't have\") ||\n response.toLowerCase().includes(\"no information\")) {\n failedLookups++;\n }\n \n // Track file references\n if (matchedFiles && matchedFiles !== 'N/A') {\n const files = matchedFiles.split(',').map(f => f.trim());\n for (const file of files) {\n if (file) {\n fileReferences[file] = (fileReferences[file] || 0) + 1;\n }\n }\n }\n}\n\n// Get top 5 referenced files\nconst sortedFiles = Object.entries(fileReferences)\n .sort((a, b) => b[1] - a[1])\n .slice(0, 5);\n\nconst topFiles = sortedFiles.length > 0\n ? sortedFiles.map((entry, index) => `${index + 1}. ${entry[0]} (${entry[1]} references)`).join('\\n')\n : 'No file references found';\n\n// Get current date\nconst date = $now.toFormat('yyyy-MM-dd');\n\n// Return summary statistics\nreturn [{\n json: {\n date: date,\n totalQuestions: totalQuestions,\n failedLookups: failedLookups,\n topFiles: topFiles,\n fileReferenceCounts: fileReferences\n }\n}];"
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}
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},
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{
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"id": "b42a61f5-a102-4aa5-befc-fb291dec1e9a",
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"name": "Send Daily Summary Email",
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"type": "n8n-nodes-base.gmail",
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"typeVersion": 2.1,
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"position": [250, 300],
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"parameters": {
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"resource": "message",
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"operation": "send",
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"sendTo": "={{ $('Workflow Configuration').first().json.emailRecipient }}",
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"subject": "=Daily RAG Chatbot Summary - {{ $json.date }}",
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"emailType": "text",
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"message": "=Daily RAG Chatbot Analytics Summary\n\nDate: {{ $json.date }}\n\nTotal Questions Asked: {{ $json.totalQuestions }}\nFailed Lookups: {{ $json.failedLookups }}\n\nTop Referenced Files:\n{{ $json.topFiles }}\n\n---\nThis is an automated summary from your n8n RAG workflow."
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},
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"webhookId": "d2ee52fc-9031-48e5-a42d-c6b2c7aaf2e9"
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}
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],
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"connections": {
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"Document Upload Form": {
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"main": [
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[
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{
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"node": "Workflow Configuration",
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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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"Workflow Configuration": {
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"main": [
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[
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{
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"node": "Store Form Submissions",
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"type": "main",
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"index": 0
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},
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{
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"node": "Insert to Pinecone",
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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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"Text Splitter": {
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"ai_textSplitter": [
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[
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{
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"node": "Document Loader",
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"type": "ai_textSplitter",
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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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"Document Loader": {
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"ai_document": [
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[
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{
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"node": "Insert to Pinecone",
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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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"OpenAI Embeddings": {
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"ai_embedding": [
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[
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{
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"node": "Insert to Pinecone",
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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": "Retrieve from Pinecone",
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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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"Chat Trigger": {
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"main": [
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[
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{
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"node": "RAG Chatbot 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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"Chat Memory": {
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"ai_memory": [
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[
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{
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"node": "RAG Chatbot Agent",
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"type": "ai_memory",
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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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"Retrieve from Pinecone": {
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"ai_tool": [
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[
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{
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"node": "RAG Chatbot 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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"OpenAI Chat Model": {
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"ai_languageModel": [
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[
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{
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"node": "RAG Chatbot 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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"RAG Chatbot Agent": {
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"main": [
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[
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{
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"node": "Log Chat Interactions",
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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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"Daily Schedule": {
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"main": [
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[
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{
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"node": "Get Chat Logs",
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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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"Get Chat Logs": {
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"main": [
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[
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{
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"node": "Generate Summary Report",
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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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"Generate Summary Report": {
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"main": [
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[
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{
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"node": "Send Daily Summary Email",
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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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},
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"name": "Document Upload RAG Chatbot with Pinecone and Daily Analytics"
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}
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