Hi I am new to n8n and i am modifying a RAG n8n workflow that works with google drive, i want to know how to get clickable inline refrence tags. If the n8n AI Assistant was active it would have helped with this.
Please share your workflow
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“id”: “764a865c-7efe-4eec-a34c-cc87c5f085b1”,
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“jsCode”: “let out = ""\nfor (const i in $input.all()) {\n let itemText = "— CHUNK " + i + " —\n"\n itemText += $input.all()[i].json.document.pageContent + "\n"\n itemText += "\n"\n out += itemText\n}\n\nreturn {\n ‘context’: out\n};”
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“name”: “Prepare chunks”,
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“options”: {}
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“id”: “8fb697ea-f2e5-4105-b6c8-ab869c2e5ab2”,
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“assignments”: [
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“id”: “236047ff-75a2-47fd-b338-1e9763c4015e”,
“name”: “chunks”,
“type”: “number”,
“value”: 4
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“includeOtherFields”: true,
“options”: {}
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“id”: “9a2b0152-d008-42cb-bc10-495135d5ef45”,
“name”: “Set max chunks to send to model”,
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“parameters”: {
“jsonSchema”: “{\n "type": "object",\n "properties": {\n "answer": {\n "type": "string"\n },\n "citations": {\n "type": "array",\n "items": {\n "type": "number"\n }\n }\n }\n}”
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“id”: “f2ab813f-0f0c-4d3a-a1de-7896ad736698”,
“name”: “Structured Output Parser”,
“type”: “@n8n/n8n-nodes-langchain.outputParserStructured”,
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“parameters”: {
“assignments”: {
“assignments”: [
{
“id”: “67ecefcf-a30c-4cc4-89ca-b9b23edd6585”,
“name”: “citations”,
“type”: “array”,
“value”: “={{ $json.citations.map(i => ‘[’ + $(‘Get top chunks matching query’).all()[$json.citations].json.document.metadata.file_name + ', lines ’ + $(‘Get top chunks matching query’).all()[$json.citations].json.document.metadata[‘loc.lines.from’] + ‘-’ + $(‘Get top chunks matching query’).all()[$json.citations].json.document.metadata[‘loc.lines.to’] + ‘]’) }}”
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“includeOtherFields”: true,
“options”: {}
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“name”: “Compose citations”,
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“assignments”: [
{
“id”: “d77956c4-0ff4-4c64-80c2-9da9d4c8ad34”,
“name”: “text”,
“type”: “string”,
“value”: “={{ $json.answer }} {{ $if(!$json.citations.isEmpty(), "\n" + $json.citations.join(""), ‘’) }}”
},
{
“id”: “afa3a3d5-013a-45d1-8d74-6a6f1815f0b0”,
“name”: “refrences”,
“value”: “={{ chunkdata= $(‘Get top chunks matching query’).item.json.document.metadata.document_id }}”,
“type”: “string”
}
]
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“options”: {}
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“id”: “8e115308-532e-4afd-b766-78e54c861f33”,
“name”: “Generate response”,
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“parameters”: {
“content”: “## 2. Chat with file, getting citations in reponse”,
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“parameters”: {
“promptType”: “define”,
“text”: “=Use the following pieces of context to answer the question at the end. If you don’t know the answer, just say that you don’t know, don’t try to make up an answer. Important: In your response, also include the the indexes of the chunks you used to generate the answer.\n\n{{ $json.context }}\n\nQuestion: {{ $("Chat Trigger").first().json.chatInput }}\nHelpful Answer:”,
“hasOutputParser”: true
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“__rl”: true,
“value”: “campus-genie”,
“mode”: “list”,
“cachedResultName”: “campus-genie”
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“prompt”: “={{ $json.chatInput }}”,
“topK”: “={{ $json.chunks }}”,
“options”: {}
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“id”: “1a5511b9-5a24-40d5-a5b1-830376226e4e”,
“name”: “Get top chunks matching query”,
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“node”: “Answer the query based on chunks”,
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“node”: “Get top chunks matching query”,
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“node”: “Get top chunks matching query”,
“type”: “main”,
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“node”: “Answer the query based on chunks”,
“type”: “ai_outputParser”,
“index”: 0
}
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“Compose citations”: {
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“node”: “Generate response”,
“type”: “main”,
“index”: 0
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“node”: “Compose citations”,
“type”: “main”,
“index”: 0
}
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“Get top chunks matching query”: {
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{
“node”: “Prepare chunks”,
“type”: “main”,
“index”: 0
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