849 lines
20 KiB
JSON
849 lines
20 KiB
JSON
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"parameters": {
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"systemMessage": "You are a Movie Recommender Tool using a Vector Database under the hood. Provide top-3 movie recommendations returned by the database, ordered by their recommendation score, but not showing the score to the user."
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}
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"bodyParameters": {
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"parameters": [
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{
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"name": "input",
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"value": "={{ $json.query.positive_example }}"
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"method": "POST",
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"jsonBody": "={\n \"query\": {\n \"recommend\": {\n \"positive\": [[{{ $json.positive_example }}]],\n \"negative\": [[{{ $json.negative_example }}]],\n \"strategy\": \"average_vector\"\n }\n },\n \"limit\":3\n}",
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"method": "POST",
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"options": {},
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"jsonBody": "={\n \"ids\": [\"{{ $json.result.points[0].id }}\", \"{{ $json.result.points[1].id }}\", \"{{ $json.result.points[2].id }}\"],\n \"with_payload\":true\n}",
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"sendBody": true,
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|
|
"name": "movie_recommendation_score",
|
|
"type": "number",
|
|
"value": "={{ $json.score }}"
|
|
},
|
|
{
|
|
"id": "c9f0982e-bd4e-484b-9eab-7e69e333f706",
|
|
"name": "movie_description",
|
|
"type": "string",
|
|
"value": "={{ $json.payload.content }}"
|
|
},
|
|
{
|
|
"id": "7c7baf11-89cd-4695-9f37-13eca7e01163",
|
|
"name": "movie_name",
|
|
"type": "string",
|
|
"value": "={{ $json.payload.metadata.movie_name }}"
|
|
},
|
|
{
|
|
"id": "1d1d269e-43c7-47b0-859b-268adf2dbc21",
|
|
"name": "movie_release_year",
|
|
"type": "string",
|
|
"value": "={{ $json.payload.metadata.release_year }}"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"typeVersion": 3.4
|
|
},
|
|
{
|
|
"id": "56e73f01-5557-460a-9a63-01357a1b456f",
|
|
"name": "Sticky Note",
|
|
"type": "n8n-nodes-base.stickyNote",
|
|
"position": [
|
|
5560,
|
|
1780
|
|
],
|
|
"parameters": {
|
|
"content": "Tool, calling Qdrant's recommendation API based on user's request, transformed by AI agent"
|
|
},
|
|
"typeVersion": 1
|
|
},
|
|
{
|
|
"id": "cce5250e-0285-4fd0-857f-4b117151cd8b",
|
|
"name": "Sticky Note1",
|
|
"type": "n8n-nodes-base.stickyNote",
|
|
"position": [
|
|
4680,
|
|
720
|
|
],
|
|
"parameters": {
|
|
"content": "Uploading data (movies and their descriptions) to Qdrant Vector Store\n"
|
|
},
|
|
"typeVersion": 1
|
|
}
|
|
],
|
|
"active": false,
|
|
"pinData": {
|
|
"Execute Workflow Trigger": [
|
|
{
|
|
"json": {
|
|
"query": {
|
|
"negative_example": "horror bloody movie",
|
|
"positive_example": "romantic comedy"
|
|
}
|
|
}
|
|
}
|
|
]
|
|
},
|
|
"settings": {
|
|
"executionOrder": "v1"
|
|
},
|
|
"versionId": "40d3669b-d333-435f-99fc-db623deda2cb",
|
|
"connections": {
|
|
"Merge": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Calling Qdrant Recommendation API",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"GitHub": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Extract from File",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Merge1": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Selecting Fields Relevant for Agent",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Split Out": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Merge1",
|
|
"type": "main",
|
|
"index": 1
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Split Out1": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Merge1",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Token Splitter": {
|
|
"ai_textSplitter": [
|
|
[
|
|
{
|
|
"node": "Default Data Loader",
|
|
"type": "ai_textSplitter",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Embeddings OpenAI": {
|
|
"ai_embedding": [
|
|
[
|
|
{
|
|
"node": "Qdrant Vector Store",
|
|
"type": "ai_embedding",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Extract from File": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Qdrant Vector Store",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"OpenAI Chat Model": {
|
|
"ai_languageModel": [
|
|
[
|
|
{
|
|
"node": "AI Agent",
|
|
"type": "ai_languageModel",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Default Data Loader": {
|
|
"ai_document": [
|
|
[
|
|
{
|
|
"node": "Qdrant Vector Store",
|
|
"type": "ai_document",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Extracting Embedding": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Merge",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Window Buffer Memory": {
|
|
"ai_memory": [
|
|
[
|
|
{
|
|
"node": "AI Agent",
|
|
"type": "ai_memory",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Extracting Embedding1": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Merge",
|
|
"type": "main",
|
|
"index": 1
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Call n8n Workflow Tool": {
|
|
"ai_tool": [
|
|
[
|
|
{
|
|
"node": "AI Agent",
|
|
"type": "ai_tool",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Execute Workflow Trigger": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Embedding Recommendation Request with Open AI",
|
|
"type": "main",
|
|
"index": 0
|
|
},
|
|
{
|
|
"node": "Embedding Anti-Recommendation Request with Open AI",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"When chat message received": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "AI Agent",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Calling Qdrant Recommendation API": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Retrieving Recommended Movies Meta Data",
|
|
"type": "main",
|
|
"index": 0
|
|
},
|
|
{
|
|
"node": "Split Out1",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"When clicking \u2018Test workflow\u2019": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "GitHub",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Selecting Fields Relevant for Agent": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Aggregate",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Retrieving Recommended Movies Meta Data": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Split Out",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Embedding Recommendation Request with Open AI": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Extracting Embedding",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
},
|
|
"Embedding Anti-Recommendation Request with Open AI": {
|
|
"main": [
|
|
[
|
|
{
|
|
"node": "Extracting Embedding1",
|
|
"type": "main",
|
|
"index": 0
|
|
}
|
|
]
|
|
]
|
|
}
|
|
}
|
|
} |