{ "name": "Contextual Retrieval", "nodes": [ { "parameters": { "model": "gpt-4.1-mini", "options": {} }, "id": "629a895b-249f-4b04-95d8-5322c6a0f78c", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1, "position": [ -680, 980 ], "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "jsonMode": "expressionData", "jsonData": "={{\n{\n \"content\": `${ $json.text }\\n---\\n${ $json.chunk }`\n}\n}}", "options": { "metadata": { "metadataValues": [ { "name": "=file_id", "value": "={{ $('Set File ID').first().json.file_id }}" }, { "name": "file_title", "value": "={{ $('Set File ID').first().json.file_title }}" }, { "name": "file_url", "value": "={{ $('Set File ID').first().json.file_url }}" } ] } } }, "id": "b1b305cc-59d1-4b3f-9561-bc2b77a34ff3", "name": "Default Data Loader", "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", "typeVersion": 1, "position": [ 1460, 1700 ] }, { "parameters": { "model": "text-embedding-3-small", "options": {} }, "id": "03aa41f8-a136-4245-aeb0-dec739b28d23", "name": "Embeddings OpenAI1", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "typeVersion": 1, "position": [ 1300, 1700 ], "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "content": "## Tool to Add Google Drive Files to Vector DB with Contextual Embeddings", "height": 867, "width": 2853, "color": 5 }, "id": "fd7c0f3f-6040-4312-ab4f-44becbefd071", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -980, 1180 ] }, { "parameters": { "operation": "download", "fileId": { "__rl": true, "value": "={{ $('Set File ID').item.json.file_id }}", "mode": "id" }, "options": { "googleFileConversion": { "conversion": { "docsToFormat": "text/plain" } } } }, "id": "d3d96ca0-a464-487a-9685-b2729bb296f4", "name": "Download File", "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ -80, 1440 ], "executeOnce": true, "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "pollTimes": { "item": [ { "mode": "everyMinute" } ] }, "triggerOn": "specificFolder", "folderToWatch": { "__rl": true, "value": "1iLcA4aE4rOe87BNXhiArRaHkG9dfzJqw", "mode": "list", "cachedResultName": "Neon", "cachedResultUrl": "https://drive.google.com/drive/folders/1iLcA4aE4rOe87BNXhiArRaHkG9dfzJqw" }, "event": "fileCreated", "options": {} }, "id": "a9e45a07-5f03-4f2d-a947-e71feae2c374", "name": "File Created", "type": "n8n-nodes-base.googleDriveTrigger", "typeVersion": 1, "position": [ -920, 1300 ], "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "pollTimes": { "item": [ { "mode": "everyMinute" } ] }, "triggerOn": "specificFolder", "folderToWatch": { "__rl": true, "value": "1iLcA4aE4rOe87BNXhiArRaHkG9dfzJqw", "mode": "list", "cachedResultName": "Neon", "cachedResultUrl": "https://drive.google.com/drive/folders/1iLcA4aE4rOe87BNXhiArRaHkG9dfzJqw" }, "event": "fileUpdated", "options": {} }, "id": "c1edc043-6c13-4161-b8c6-9d22655da94a", "name": "File Updated", "type": "n8n-nodes-base.googleDriveTrigger", "typeVersion": 1, "position": [ -920, 1460 ], "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "text", "options": {} }, "id": "ab685f23-0081-49dc-a91e-51f929e101f0", "name": "Extract Document Text", "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 120, 1300 ], "alwaysOutputData": true }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "={{ $(\"When chat message received\").item.json.sessionId }}" }, "id": "e4f7272e-0ef4-45f5-b9cb-ada6c29a7db5", "name": "Postgres Chat Memory", "type": "@n8n/n8n-nodes-langchain.memoryPostgresChat", "typeVersion": 1, "position": [ -500, 980 ], "notesInFlow": false, "credentials": { "postgres": { "name": "" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "10646eae-ae46-4327-a4dc-9987c2d76173", "name": "file_id", "value": "={{ $json.id }}", "type": "string" }, { "id": "f4536df5-d0b1-4392-bf17-b8137fb31a44", "name": "file_type", "value": "={{ $json.mimeType }}", "type": "string" }, { "id": "77d782de-169d-4a46-8a8e-a3831c04d90f", "name": "file_title", "value": "={{ $json.name }}", "type": "string" }, { "id": "9bde4d7f-e4f3-4ebd-9338-dce1350f9eab", "name": "file_url", "value": "={{ $json.webViewLink }}", "type": "string" } ] }, "options": {} }, "id": "a4f9c240-bd71-420d-973e-5bcf19d172a1", "name": "Set File ID", "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -520, 1440 ] }, { "parameters": { "content": "## RAG AI Agent with Contextual Retrieval", "height": 485, "width": 1036 }, "id": "d81eeed4-bbd7-4074-ba91-4976a78a1c42", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -980, 680 ] }, { "parameters": { "options": { "systemMessage": "=## Role\n\nYou are a Retrieval-Augmented Generation (RAG) assistant designed to answer questions a user has. You use a corpus of documents that are all text based. Your primary goal is to provide accurate, up-to-date, and relevant information based on what the user asks and the documents you retrieve.\n\n## Responsibilities\n\n- Answer user queries with a good mix of being comprehensive but still concise\n- Present information in an easy-to-understand and professional manner \n- Clarify misconceptions or misinformation\n\n## Other Key Information and Instructions\n\n- Always tell the user if you didn't find the answer. Don't make something up just to please them.\n- Keep your language neutral and factual. Do not show bias or opinion \n\n## Error Handling\n- If the information cannot be found using the provided instructions respond with: \n \u201cI\u2019m sorry, I couldn\u2019t find relevant information based on your documents.\u201d\n" } }, "id": "701de0d9-5ece-44da-9aa6-b4cdfeec3f88", "name": "RAG AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 1.6, "position": [ -600, 760 ] }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "typeVersion": 1.2, "position": [ -160, 1020 ], "id": "1643bbef-d8c6-49d7-828e-eec86ca0df2d", "name": "Embeddings OpenAI2", "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "options": { "reset": false } }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ -700, 1300 ], "id": "0d74aee4-7188-4e6d-8ce7-18e37a30bd5f", "name": "Loop Over Items" }, { "parameters": { "chunkSize": 2000, "options": {} }, "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter", "typeVersion": 1, "position": [ 1580, 1860 ], "id": "d74c50f4-99cf-49cc-9d27-b885f3bc84d9", "name": "Recursive Character Text Splitter" }, { "parameters": { "public": true, "options": {} }, "id": "870b78ea-00cd-4187-9cf3-72c120d592ff", "name": "When chat message received", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "typeVersion": 1.1, "position": [ -880, 760 ] }, { "parameters": { "mode": "runOnceForEachItem", "jsCode": "const chunks = [];\nconst chunkSize = 400;\nconst chunkOverlap = 0;\nconst text = $json.data.replace(/\\n/, '');\n\nfor (let i=0, j=Math.round(text.length/chunkSize); i \n{{ $('Extract Document Text').first().json.data }} \n\nHere is the chunk we want to situate within the whole document \n \n{{ $json.chunk }}\n \nPlease give a short succinct context to situate this chunk within the overall document for the purposes of improving search retrieval of the chunk. Answer only with the succinct context and nothing else. " }, "id": "2337b1e4-cb00-4e2b-b0df-7eb2e3cd2a43", "name": "Generate Contextual Text", "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.4, "position": [ 800, 1460 ] }, { "parameters": { "model": { "__rl": true, "value": "gpt-4.1-nano", "mode": "list", "cachedResultName": "gpt-4.1-nano" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 760, 1700 ], "id": "49a94474-d8c8-4d6a-a62d-27e5e16945cb", "name": "OpenAI Chat Model3", "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "069d067c-3534-4939-8ff4-34dee02a9436", "name": "chunk", "value": "={{ $('Chunks To List').item.json.chunk }}", "type": "string" }, { "id": "24e01f4f-e156-47e9-a89e-9cbdccda6bd4", "name": "text", "value": "={{ $('Generate Contextual Text').item.json.text }}", "type": "string" } ] }, "options": {} }, "id": "4a569383-b3b6-470f-a567-df168ac22400", "name": "Get Values", "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1160, 1340 ] }, { "parameters": { "mode": "insert", "tableName": "documents_pg", "options": {} }, "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector", "typeVersion": 1.1, "position": [ 1380, 1440 ], "id": "f188cb0e-64cb-4389-a97e-bd53f82bab48", "name": "Postgres PGVector Store", "credentials": { "postgres": { "name": "" } } }, { "parameters": { "mode": "retrieve-as-tool", "toolName": "documents_pg", "toolDescription": "Use RAG to look up information in the knowledgebase.", "tableName": "documents_pg", "options": {} }, "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector", "typeVersion": 1.1, "position": [ -280, 880 ], "id": "10bf0453-c3a8-4584-8209-65e79a542b45", "name": "Document RAG Tool1", "credentials": { "postgres": { "name": "" } } }, { "parameters": { "operation": "executeQuery", "query": "DO $$\nBEGIN\n IF EXISTS (SELECT 1 FROM information_schema.tables WHERE table_name = 'documents_pg') THEN\n EXECUTE 'DELETE FROM documents_pg WHERE metadata->>''file_id'' LIKE ''%' || $1 || '%''';\n END IF;\nEND\n$$;", "options": { "queryReplacement": "={{ $json.file_id }}" } }, "type": "n8n-nodes-base.postgres", "typeVersion": 2.5, "position": [ -300, 1300 ], "id": "48754246-3a5d-4a4d-a815-b77ad68242e4", "name": "Delete Old Doc Records", "credentials": { "postgres": { "name": "" } } } ], "connections": { "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "RAG AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Download File": { "main": [ [ { "node": "Extract Document Text", "type": "main", "index": 0 } ] ] }, "File Created": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Extract Document Text": { "main": [ [ { "node": "Create Chunks From Doc", "type": "main", "index": 0 } ] ] }, "Embeddings OpenAI1": { "ai_embedding": [ [ { "node": "Postgres PGVector Store", "type": "ai_embedding", "index": 0 } ] ] }, "Default Data Loader": { "ai_document": [ [ { "node": "Postgres PGVector Store", "type": "ai_document", "index": 0 } ] ] }, "Postgres Chat Memory": { "ai_memory": [ [ { "node": "RAG AI Agent", "type": "ai_memory", "index": 0 } ] ] }, "Set File ID": { "main": [ [ { "node": "Delete Old Doc Records", "type": "main", "index": 0 } ] ] }, "File Updated": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Embeddings OpenAI2": { "ai_embedding": [ [ { "node": "Document RAG Tool1", "type": "ai_embedding", "index": 0 } ] ] }, "Loop Over Items": { "main": [ [], [ { "node": "Set File ID", "type": "main", "index": 0 } ] ] }, "Recursive Character Text Splitter": { "ai_textSplitter": [ [ { "node": "Default Data Loader", "type": "ai_textSplitter", "index": 0 } ] ] }, "When chat message received": { "main": [ [ { "node": "RAG AI Agent", "type": "main", "index": 0 } ] ] }, "Chunks To List": { "main": [ [ { "node": "Generate Contextual Text", "type": "main", "index": 0 } ] ] }, "Create Chunks From Doc": { "main": [ [ { "node": "Chunks To List", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model3": { "ai_languageModel": [ [ { "node": "Generate Contextual Text", "type": "ai_languageModel", "index": 0 } ] ] }, "Generate Contextual Text": { "main": [ [ { "node": "Get Values", "type": "main", "index": 0 } ] ] }, "Get Values": { "main": [ [ { "node": "Postgres PGVector Store", "type": "main", "index": 0 } ] ] }, "Postgres PGVector Store": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Document RAG Tool1": { "ai_tool": [ [ { "node": "RAG AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "Delete Old Doc Records": { "main": [ [ { "node": "Download File", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "bf4b5d55-ee85-4bac-ba54-8212c00dba4f", "meta": { "templateCredsSetupCompleted": true }, "id": "Tbo3PW1c2qp2gZJi", "tags": [] }