204 lines
4.8 KiB
JSON
204 lines
4.8 KiB
JSON
{
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"name": "answer · 71 Lab 01 challenge (search with section)",
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"nodes": [
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{
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"name": "Search webhook",
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"type": "n8n-nodes-base.webhook",
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"typeVersion": 2,
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"position": [
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0,
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300
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],
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"parameters": {
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"httpMethod": "POST",
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"path": "my-search",
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"responseMode": "responseNode",
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"options": {}
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}
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},
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{
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"name": "Has question?",
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"type": "n8n-nodes-base.if",
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"typeVersion": 2.2,
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"position": [
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200,
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300
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],
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"parameters": {
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"conditions": {
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"options": {
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"caseSensitive": true,
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"leftValue": "",
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"typeValidation": "strict",
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"version": 2
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},
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"conditions": [
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{
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"id": "c0",
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"leftValue": "={{ $json.body.question }}",
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"rightValue": "",
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"operator": {
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"type": "string",
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"operation": "notEmpty",
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"singleValue": true
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}
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}
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],
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"combinator": "and"
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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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"name": "Reject empty",
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"type": "n8n-nodes-base.respondToWebhook",
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"typeVersion": 1.1,
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"position": [
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420,
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560
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],
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"parameters": {
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"respondWith": "json",
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"responseBody": "{ \"error\": \"question is required\" }",
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"options": {
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"responseCode": 400
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}
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}
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},
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{
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"name": "Search policies",
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"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
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"typeVersion": 1.3,
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"position": [
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420,
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300
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],
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"parameters": {
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"mode": "load",
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"memoryKey": {
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"__rl": true,
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"mode": "list",
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"value": "my_policy_docs",
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"cachedResultName": "my_policy_docs"
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},
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"prompt": "={{ $json.body.question }}",
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"topK": "={{ $json.body.top_k ?? 3 }}",
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"includeDocumentMetadata": true
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},
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"alwaysOutputData": true
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},
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{
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"name": "Embeddings",
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"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
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"typeVersion": 1.2,
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"position": [
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560,
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520
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],
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"parameters": {
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"model": "text-embedding-3-large",
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"options": {}
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},
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"credentials": {
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"openAiApi": {
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"id": "openAiCourse0001",
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"name": "OpenAI (.env)"
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}
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}
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},
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{
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"name": "Build hits",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [
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860,
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300
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],
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"parameters": {
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"jsCode": "// The search contract: { question, hits: [{ rank, source, title, section, score, text }], top_score, indexed }.\n// Always Output Data is on, so an empty store still gives one empty item: keep only items that have a document.\nconst question = $('Search webhook').first().json.body.question;\nconst hits = $input.all().filter(item => item.json.document).map((item, i) => ({\n rank: i + 1, source: item.json.document.metadata?.source, title: item.json.document.metadata?.title, section: item.json.document.metadata?.section ?? '',\n score: Math.round((item.json.score ?? 0) * 1000) / 1000, text: item.json.document.pageContent ?? '' }));\nreturn [{ json: { question, hits, top_score: hits.length ? Math.max(...hits.map(hit => hit.score)) : 0, indexed: hits.length > 0 } }];"
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}
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},
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{
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"name": "Send result",
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"type": "n8n-nodes-base.respondToWebhook",
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"typeVersion": 1.1,
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"position": [
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1080,
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300
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],
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"parameters": {
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"respondWith": "json",
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"responseBody": "={{ $json }}",
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"options": {}
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}
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}
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],
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"connections": {
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"Search webhook": {
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"main": [
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[
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{
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"node": "Has question?",
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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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"Has question?": {
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"main": [
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[
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{
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"node": "Search policies",
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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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"node": "Reject empty",
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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": {
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"ai_embedding": [
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[
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{
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"node": "Search policies",
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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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"Search policies": {
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"main": [
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[
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{
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"node": "Build hits",
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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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"Build hits": {
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"main": [
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[
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{
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"node": "Send result",
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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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"settings": {
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"executionOrder": "v1"
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}
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}
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