{"workflow":{"id":14827,"name":"Build an OpenAI RAG system with document upload, semantic search and caching","views":248,"recentViews":50,"totalViews":248,"createdAt":"2026-04-06T16:28:40.258Z","description":"\n## Overview\nThis workflow implements a complete Retrieval-Augmented Generation (RAG) system for document ingestion and intelligent querying.\n\nIt allows users to upload documents, convert them into vector embeddings, and query them using natural language. The system retrieves relevant document context and generates accurate AI responses while using caching to improve performance and reduce costs.\n\nThis workflow is ideal for building AI knowledge bases, document assistants, and internal search systems.\n\n---\n\n## How It Works\n\n### 1. Input & Configuration\n- Receives requests via webhook (`rag-system`)\n- Supports two actions:\n  - `upload` → process documents\n  - `query` → answer questions\n- Defines:\n  - Chunk size & overlap\n  - TopK retrieval count\n  - Database table names\n\n---\n\n###  Document Upload Flow\n\n2. **Text Extraction**\n   - Extracts text from uploaded PDF documents\n\n3. **Text Chunking**\n   - Splits text into overlapping chunks for better retrieval accuracy\n\n4. **Document Structuring**\n   - Converts chunks into structured documents\n\n5. **Embedding Generation**\n   - Generates vector embeddings using OpenAI\n\n6. **Vector Storage**\n   - Stores embeddings in PGVector (Postgres)\n\n7. **Upload Logging**\n   - Logs document metadata (user, filename, timestamp)\n\n8. **Response**\n   - Returns success message via webhook\n\n---\n\n###  Query Flow\n\n9. **Cache Check**\n   - Checks if query result exists in cache (last 1 hour)\n\n10. **Cache Routing**\n   - If cached → return cached response  \n   - If not → proceed to retrieval  \n\n---\n\n###  Cache Hit Flow\n\n11. **Format Cached Response**\n   - Standardizes cached output format\n\n12. **Respond to User**\n   - Returns cached answer with `cached: true`\n\n---\n\n###  Cache Miss Flow\n\n13. **Vector Retrieval**\n   - Retrieves top relevant document chunks from PGVector\n\n14. **AI Answer Generation**\n   - Uses LLM with retrieved context\n   - Generates accurate, context-based answer\n\n15. **Cache Storage**\n   - Saves query + response in database for reuse\n\n16. **Response**\n   - Returns generated answer with `cached: false`\n\n---\n\n## Setup Instructions\n\n1. **Webhook Setup**\n   - Configure endpoint (`rag-system`)\n   - Send payload with:\n     - `action`: upload / query\n     - `user_id`\n     - `document` or `query`\n\n2. **OpenAI Setup**\n   - Add API credentials for:\n     - Embeddings\n     - Chat model\n\n3. **Postgres + PGVector**\n   - Enable PGVector extension\n   - Create tables:\n     - `documents`\n     - `query_cache`\n     - `upload_log`\n\n4. **Configure Parameters**\n   - Adjust:\n     - Chunk size (e.g., 1000)\n     - Overlap (e.g., 200)\n     - TopK (e.g., 5)\n\n5. **Optional Enhancements**\n   - Add authentication layer\n   - Add multi-tenant filtering (user_id)\n\n---\n\n## Use Cases\n\n- AI document search systems  \n- Internal knowledge base assistants  \n- Customer support knowledge retrieval  \n- Legal or compliance document analysis  \n- SaaS AI chat with custom data  \n\n---\n\n## Requirements\n\n- OpenAI API key  \n- Postgres database with PGVector  \n- n8n instance (cloud or self-hosted)  \n\n---\n\n## Key Features\n\n- Full RAG architecture (upload + query)  \n- PDF document ingestion pipeline  \n- Semantic search with vector embeddings  \n- Context-aware AI responses  \n- Query caching for performance optimization  \n- Multi-user support via metadata filtering  \n- Scalable and modular design  \n\n---\n\n## Summary\n\nA complete RAG-based AI system that enables document ingestion, semantic search, and intelligent query answering. It combines vector databases, LLMs, and caching to deliver fast, accurate, and scalable AI-powered knowledge retrieval.","workflow":{"meta":{"instanceId":"48aac30adfc5487a33ef16e0e958096f27cef40df3ed0febcbe1ca199e789786"},"nodes":[{"id":"772b7ee1-fa79-424e-91ee-b042a7c098c7","name":"Webhook Trigger","type":"n8n-nodes-base.webhook","position":[-1392,128],"webhookId":"3e81bb1b-3b9b-4cf1-ba3a-d0c4b93543e3","parameters":{"path":"rag-system","options":{},"httpMethod":"POST","responseMode":"lastNode"},"typeVersion":2.1},{"id":"f254f90f-fc8b-4e69-b680-2faa6ea14a2b","name":"Workflow Configuration","type":"n8n-nodes-base.set","position":[-1120,128],"parameters":{"options":{},"assignments":{"assignments":[{"id":"id-1","name":"chunkSize","type":"number","value":1000},{"id":"id-2","name":"chunkOverlap","type":"number","value":200},{"id":"id-3","name":"topK","type":"number","value":5},{"id":"id-4","name":"tableName","type":"string","value":"documents"},{"id":"id-5","name":"cacheTableName","type":"string","value":"query_cache"}]},"includeOtherFields":true},"typeVersion":3.4},{"id":"de7dfd1a-89f5-4579-8723-a6025a788f51","name":"Route by Action","type":"n8n-nodes-base.switch","position":[-736,128],"parameters":{"rules":{"values":[{"outputKey":"Upload","conditions":{"options":{"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.body.action }}","rightValue":"upload"}]},"renameOutput":true},{"outputKey":"Query","conditions":{"options":{"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.body.action }}","rightValue":"query"}]},"renameOutput":true}]},"options":{"fallbackOutput":"extra"}},"typeVersion":3.4},{"id":"04c7dba5-11fe-4320-a72c-0dde1ec79bbd","name":"Extract Text from Document","type":"n8n-nodes-base.extractFromFile","position":[-448,752],"parameters":{"options":{},"operation":"pdf"},"typeVersion":1.1},{"id":"3cc951b4-1db9-44f5-bc0e-94dba28aae25","name":"Text Splitter","type":"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter","position":[-96,1184],"parameters":{"options":{},"chunkSize":"={{ $('Workflow Configuration').first().json.chunkSize }}","chunkOverlap":"={{ $('Workflow Configuration').first().json.chunkOverlap }}"},"typeVersion":1},{"id":"8b938e6a-5a85-4271-aa1f-260802704c93","name":"Document Loader","type":"@n8n/n8n-nodes-langchain.documentDefaultDataLoader","position":[-160,1024],"parameters":{"options":{},"jsonData":"={{ $json.text }}","jsonMode":"expressionData","textSplittingMode":"custom"},"typeVersion":1.1},{"id":"2c678aa9-751c-47fd-a5f5-5c85e40a5b9e","name":"OpenAI Embeddings","type":"@n8n/n8n-nodes-langchain.embeddingsOpenAi","position":[192,1056],"parameters":{"options":{}},"typeVersion":1.2},{"id":"c0432b95-ccf1-4cdd-995e-7cb3af38437d","name":"Store Embeddings in PGVector","type":"@n8n/n8n-nodes-langchain.vectorStorePGVector","position":[-112,752],"parameters":{"mode":"insert","options":{},"tableName":"={{ $('Workflow Configuration').first().json.tableName }}"},"typeVersion":1.3},{"id":"92c79b58-e8c9-4496-be91-fe7d0983c16c","name":"Log Upload to Cache","type":"n8n-nodes-base.postgres","position":[528,752],"parameters":{"query":"INSERT INTO upload_log (user_id, document_name, uploaded_at) VALUES ($1, $2, $3)","options":{"queryReplacement":"={{ $('Webhook Trigger').first().json.body.user_id }},={{ $('Webhook Trigger').first().json.body.document_name }},={{ $now.toISO() }}"},"operation":"executeQuery"},"typeVersion":2.6},{"id":"c5d4dcaa-0f64-44ee-93b9-6d6994a62397","name":"Respond Upload Success","type":"n8n-nodes-base.respondToWebhook","position":[848,752],"parameters":{"options":{},"respondWith":"json","responseBody":"={\n  \"status\": \"success\",\n  \"message\": \"Document uploaded and processed\",\n  \"user_id\": \"={{ $('Webhook Trigger').first().json.body.user_id }}\",\n  \"document_name\": \"={{ $('Webhook Trigger').first().json.body.document_name }}\"\n}"},"typeVersion":1.5},{"id":"d7e575a7-e112-4848-8521-c24b4adc50a6","name":"Check Query Cache","type":"n8n-nodes-base.postgres","position":[-384,-64],"parameters":{"query":"SELECT answer, created_at FROM query_cache WHERE user_id = $1 AND query_hash = MD5($2) AND created_at > NOW() - INTERVAL '1 hour'","options":{"queryReplacement":"={{ $('Webhook Trigger').first().json.body.user_id }},={{ $('Webhook Trigger').first().json.body.query }}"},"operation":"executeQuery"},"typeVersion":2.6},{"id":"a6cd4561-8ba5-43a6-a679-d6259f64078c","name":"Cache Hit or Miss","type":"n8n-nodes-base.switch","position":[-112,-64],"parameters":{"rules":{"values":[{"outputKey":"Cache Hit","conditions":{"options":{"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"operator":{"type":"number","operation":"gt"},"leftValue":"={{ $json.length }}","rightValue":0}]},"renameOutput":true},{"outputKey":"Cache Miss","conditions":{"options":{"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"operator":{"type":"number","operation":"equals"},"leftValue":"={{ $json.length }}","rightValue":0}]},"renameOutput":true}]},"options":{}},"typeVersion":3.4},{"id":"1576da8b-432c-42c9-a0e4-487523bf314b","name":"Retrieve Relevant Chunks","type":"@n8n/n8n-nodes-langchain.vectorStorePGVector","position":[432,1088],"parameters":{"options":{"metadata":{"metadataValues":[{"name":"user_id","value":"={{ $('Webhook Trigger').first().json.body.user_id }}"}]}},"tableName":"={{ $('Workflow Configuration').first().json.tableName }}"},"typeVersion":1.3},{"id":"559a79ea-ce0a-4fa1-96e6-f9439799a48a","name":"OpenAI Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[224,240],"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4.1-mini"},"options":{},"builtInTools":{}},"typeVersion":1.3},{"id":"4952c071-c20b-4e4e-b753-e0fe93413d26","name":"Answer Query with Context","type":"@n8n/n8n-nodes-langchain.agent","position":[288,16],"parameters":{"text":"={{ $('Webhook Trigger').first().json.body.query }}","options":{"systemMessage":"You are a helpful AI assistant that answers questions based on the provided document context.\n\nYour task is to:\n1. Analyze the user's question carefully\n2. Review the relevant document chunks provided from the vector database\n3. Provide a clear, accurate answer based ONLY on the information in the documents\n4. If the answer is not in the provided context, say \"I don't have enough information to answer that question based on the available documents.\"\n5. Always cite which document or section your answer comes from when possible\n\nBe concise but thorough. Maintain a professional and helpful tone."},"promptType":"define"},"typeVersion":3},{"id":"a7bea884-a935-4de3-8770-a52806d1abd4","name":"Save to Query Cache","type":"n8n-nodes-base.postgres","position":[768,16],"parameters":{"query":"INSERT INTO query_cache (user_id, query_hash, query, answer, created_at) VALUES ($1, MD5($2), $3, $4, NOW()) ON CONFLICT (user_id, query_hash) DO UPDATE SET answer = EXCLUDED.answer, created_at = NOW()","options":{"queryReplacement":"={{ $('Webhook Trigger').first().json.body.user_id }},={{ $('Webhook Trigger').first().json.body.query }},={{ $('Webhook Trigger').first().json.body.query }},={{ $json.output }}"},"operation":"executeQuery"},"typeVersion":2.6},{"id":"c380d8d7-769c-4bfe-994e-d54dffcc4c7a","name":"Respond with Answer","type":"n8n-nodes-base.respondToWebhook","position":[1168,16],"parameters":{"options":{},"respondWith":"json","responseBody":"={\n  \"answer\": \"={{ $('Answer Query with Context').first().json.output }}\",\n  \"cached\": false,\n  \"user_id\": \"={{ $('Webhook Trigger').first().json.body.user_id }}\"\n}"},"typeVersion":1.5},{"id":"efcc43e4-7a1d-4174-85dd-f73c55960ba6","name":"Format Cached Response","type":"n8n-nodes-base.set","position":[416,-576],"parameters":{"options":{},"assignments":{"assignments":[{"id":"id-1","name":"answer","type":"string","value":"={{ $json.answer }}"},{"id":"id-2","name":"cached","type":"boolean","value":true},{"id":"id-3","name":"user_id","type":"string","value":"={{ $('Webhook Trigger').first().json.body.user_id }}"}]}},"typeVersion":3.4},{"id":"767873ee-0740-4460-8d1a-79a9b37e1d8b","name":"Respond with Cached Answer","type":"n8n-nodes-base.respondToWebhook","position":[880,-576],"parameters":{"options":{},"respondWith":"json","responseBody":"={\n  \"answer\": \"={{ $json.answer }}\",\n  \"cached\": true,\n  \"user_id\": \"={{ $json.user_id }}\"\n}"},"typeVersion":1.5},{"id":"4f8320ed-a474-4f49-b6d6-baf644f3c937","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-1472,48],"parameters":{"color":7,"width":592,"height":240,"content":"## Input Layer\nReceive upload or query via webhook and Set chunking, topK, and database tables"},"typeVersion":1},{"id":"0aafeb7b-06f6-45c9-bfe8-322e95550240","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-800,16],"parameters":{"color":7,"width":304,"height":288,"content":"## Action Routing\nRoute request to upload or query flow"},"typeVersion":1},{"id":"34da2fb8-619f-4e21-b2d1-4b7e0192f2ae","name":"Answer questions with a vector store","type":"@n8n/n8n-nodes-langchain.toolVectorStore","position":[368,240],"parameters":{},"typeVersion":1.1},{"id":"479de263-883a-4197-9ae2-09ed26b05b5c","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-448,-192],"parameters":{"color":7,"width":470,"height":288,"content":"## Cache Check\nCheck if query result exists in cache"},"typeVersion":1},{"id":"afface0a-2435-4831-aee3-0c5683218a53","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[336,-704],"parameters":{"color":7,"width":272,"height":320,"content":"## Cache Response Formatting\nFormat cached query results into a consistent response structure."},"typeVersion":1},{"id":"2fe09f60-1e2b-42fd-9115-34af03fcfee3","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[768,-736],"parameters":{"color":7,"width":304,"height":320,"content":"## Response Layer\nReturn answer or cached result via webhook"},"typeVersion":1},{"id":"0adeaf21-cd46-4e59-96a7-2285c91d79a9","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[1056,-64],"parameters":{"color":7,"width":304,"height":240,"content":"## Response Layer\nReturn answer or cached result via webhook"},"typeVersion":1},{"id":"9efa23a4-2f27-4b7b-b729-c9a0c02194ce","name":"Sticky Note7","type":"n8n-nodes-base.stickyNote","position":[656,-64],"parameters":{"color":7,"width":304,"height":272,"content":"## Cache Storage\nStore query and response for reuse"},"typeVersion":1},{"id":"75a4c942-f12b-42ae-96a1-6a36542acf80","name":"Sticky Note8","type":"n8n-nodes-base.stickyNote","position":[176,-80],"parameters":{"color":7,"width":464,"height":448,"content":"## Answer Generation\nGenerate answer using context + AI model"},"typeVersion":1},{"id":"02e378e4-dd93-4800-ae87-1d14490b2727","name":"Sticky Note9","type":"n8n-nodes-base.stickyNote","position":[-512,672],"parameters":{"color":7,"width":304,"height":240,"content":"## Document Processing\nExtract text from uploaded documents"},"typeVersion":1},{"id":"f21786fe-b403-4aa0-b484-caa8bcd67e64","name":"Sticky Note10","type":"n8n-nodes-base.stickyNote","position":[-160,640],"parameters":{"color":7,"width":304,"height":272,"content":"## Chunking Engine\nSplit text into overlapping chunks"},"typeVersion":1},{"id":"6a5abc30-754c-4e9b-8213-f79186b80a35","name":"Sticky Note11","type":"n8n-nodes-base.stickyNote","position":[400,976],"parameters":{"color":7,"width":304,"height":240,"content":"## Embeddings Storage\nGenerate embeddings and store in PGVector"},"typeVersion":1},{"id":"7a1009b0-7395-4041-bde5-06d382318b30","name":"Sticky Note12","type":"n8n-nodes-base.stickyNote","position":[368,624],"parameters":{"color":7,"width":672,"height":272,"content":"## Upload Logging\nTrack document uploads in database"},"typeVersion":1},{"id":"32a6aac8-009a-4cac-829b-ca853c9f2f38","name":"Sticky Note13","type":"n8n-nodes-base.stickyNote","position":[-2224,-256],"parameters":{"width":448,"height":576,"content":"## How it works\nThis workflow implements a complete Retrieval-Augmented Generation (RAG) system for document ingestion and intelligent querying.\n\nUsers can upload documents or send queries via webhook. Uploaded files are processed by extracting text, splitting it into chunks, generating embeddings, and storing them in a vector database (PGVector).\n\nWhen a query is received, the workflow first checks a cache for recent answers. If no cache is found, it retrieves relevant document chunks using vector search and generates a contextual answer using an AI model.\n\nResponses are cached for faster future queries and returned to the user via webhook.\n\n## Setup steps\n- Configure webhook endpoint for upload and query actions\n- Add OpenAI API credentials for embeddings and chat\n- Set up Postgres with PGVector extension\n- Create tables for documents and query cache\n- Adjust chunk size, overlap, and topK settings"},"typeVersion":1}],"pinData":{},"connections":{"Text Splitter":{"ai_textSplitter":[[{"node":"Document Loader","type":"ai_textSplitter","index":0}]]},"Document Loader":{"ai_document":[[{"node":"Store Embeddings in PGVector","type":"ai_document","index":0}]]},"Route by Action":{"main":[[{"node":"Extract Text from Document","type":"main","index":0}],[{"node":"Check Query Cache","type":"main","index":0}]]},"Webhook Trigger":{"main":[[{"node":"Workflow Configuration","type":"main","index":0}]]},"Cache Hit or Miss":{"main":[[{"node":"Format Cached Response","type":"main","index":0}],[{"node":"Answer Query with Context","type":"main","index":0}]]},"Check Query Cache":{"main":[[{"node":"Cache Hit or Miss","type":"main","index":0}]]},"OpenAI Chat Model":{"ai_languageModel":[[{"node":"Answer Query with Context","type":"ai_languageModel","index":0}]]},"OpenAI Embeddings":{"ai_embedding":[[{"node":"Store Embeddings in PGVector","type":"ai_embedding","index":0},{"node":"Retrieve Relevant Chunks","type":"ai_embedding","index":0}]]},"Log Upload to Cache":{"main":[[{"node":"Respond Upload Success","type":"main","index":0}]]},"Save to Query Cache":{"main":[[{"node":"Respond with Answer","type":"main","index":0}]]},"Format Cached Response":{"main":[[{"node":"Respond with Cached Answer","type":"main","index":0}]]},"Workflow Configuration":{"main":[[{"node":"Route by Action","type":"main","index":0}]]},"Retrieve Relevant Chunks":{"ai_vectorStore":[[{"node":"Answer questions with a vector store","type":"ai_vectorStore","index":0}]]},"Answer Query with Context":{"main":[[{"node":"Save to Query Cache","type":"main","index":0}]]},"Extract Text from Document":{"main":[[{"node":"Store Embeddings in PGVector","type":"main","index":0}]]},"Store Embeddings in PGVector":{"main":[[{"node":"Log Upload to Cache","type":"main","index":0}]]},"Answer questions with a vector store":{"ai_tool":[[{"node":"Answer Query with Context","type":"ai_tool","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":33,"nodeTypes":{"n8n-nodes-base.set":{"count":2},"n8n-nodes-base.switch":{"count":2},"n8n-nodes-base.webhook":{"count":1},"n8n-nodes-base.postgres":{"count":3},"n8n-nodes-base.stickyNote":{"count":13},"@n8n/n8n-nodes-langchain.agent":{"count":1},"n8n-nodes-base.extractFromFile":{"count":1},"n8n-nodes-base.respondToWebhook":{"count":3},"@n8n/n8n-nodes-langchain.lmChatOpenAi":{"count":1},"@n8n/n8n-nodes-langchain.toolVectorStore":{"count":1},"@n8n/n8n-nodes-langchain.embeddingsOpenAi":{"count":1},"@n8n/n8n-nodes-langchain.vectorStorePGVector":{"count":2},"@n8n/n8n-nodes-langchain.documentDefaultDataLoader":{"count":1},"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"ResilNext","username":"rnair1996","bio":"","verified":true,"links":[""],"avatar":"https://gravatar.com/avatar/c20bc6c3bcdf260fac3c28c556a8db661ee93670037a3ceb857e047851f6f438?r=pg&d=retro&size=200"},"nodes":[{"id":30,"icon":"file:postgres.svg","name":"n8n-nodes-base.postgres","codex":{"data":{"resources":{"generic":[{"url":"https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/","icon":"❤️","label":"Love at first sight: Ricardo’s n8n journey"},{"url":"https://n8n.io/blog/why-i-chose-n8n-over-zapier-in-2020/","icon":"😍","label":"Why I chose n8n over Zapier in 2020"},{"url":"https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/","icon":"📡","label":"Database Monitoring and Alerting with n8n"},{"url":"https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/","icon":"🛳","label":"Running n8n on ships: An interview with Maranics"},{"url":"https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/","icon":"⚙️","label":"Automate your data processing pipeline in 9 steps"},{"url":"https://n8n.io/blog/how-honest-burgers-use-automation-to-save-100k-per-year/","icon":"🍔","label":"How Honest Burgers Use Automation to Save $100k per year"}],"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.postgres/"}],"credentialDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/credentials/postgres/"}]},"categories":["Development","Data & Storage"],"nodeVersion":"1.0","codexVersion":"1.0"}},"group":"[\"input\"]","defaults":{"name":"Postgres"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" fill="#fff" fill-rule="evenodd" stroke="#000" stroke-linecap="round" stroke-linejoin="round" viewBox="0 0 79 81"><use xlink:href="#a" x=".5" y=".5"/><symbol id="a" overflow="visible"><g fill-rule="nonzero" stroke="none"><path fill="#000" d="M77.391 47.922c-.466-1.412-1.688-2.396-3.268-2.632-.745-.111-1.598-.064-2.608.144-1.76.363-3.065.501-4.018.528 3.596-6.072 6.521-12.997 8.204-19.515 2.722-10.54 1.268-15.341-.432-17.513C70.77 3.185 64.206.097 56.287.002c-4.224-.052-7.933.782-9.867 1.382a37 37 0 0 0-5.77-.528c-3.809-.061-7.174.77-10.05 2.476a46 46 0 0 0-7.098-1.782C16.561.411 10.968 1.299 6.876 4.19 1.922 7.689-.375 13.77.05 22.262c.135 2.696 1.643 10.9 4.018 18.68 1.365 4.472 2.82 8.185 4.326 11.038 2.135 4.046 4.419 6.428 6.984 7.284 1.438.479 4.049.814 6.797-1.473a6 6 0 0 0 1.429 1.23c.783.494 1.74.897 2.696 1.136 3.446.862 6.674.646 9.427-.561l.041 1.362.06 1.899c.163 4.064.44 7.223 1.259 9.434.045.122.105.307.169.503.409 1.251 1.092 3.346 2.83 4.987 1.8 1.699 3.978 2.22 5.972 2.22 1 0 1.955-.131 2.792-.311 2.984-.639 6.373-1.614 8.824-5.104 2.318-3.3 3.444-8.27 3.648-16.101l.074-.634.048-.414.546.048.141.01c3.039.138 6.755-.506 9.037-1.566 1.803-.837 7.582-3.888 6.221-8.007"/><path fill="#336791" d="M72.195 48.723c-9.036 1.864-9.657-1.195-9.657-1.195 9.541-14.157 13.529-32.127 10.087-36.525C63.235-.994 46.981 4.68 46.71 4.827l-.087.016c-1.785-.371-3.783-.591-6.029-.628-4.089-.067-7.19 1.072-9.544 2.857 0 0-28.995-11.945-27.647 15.023.287 5.737 8.223 43.41 17.689 32.031 3.46-4.161 6.803-7.679 6.803-7.679 1.66 1.103 3.648 1.666 5.732 1.463l.162-.137a6.3 6.3 0 0 0 .065 1.62c-2.439 2.725-1.722 3.203-6.597 4.206-4.933 1.017-2.035 2.826-.143 3.299 2.294.574 7.6 1.386 11.185-3.633l-.143.573c.956.765 1.626 4.978 1.514 8.797s-.188 6.441.565 8.489 1.503 6.656 7.912 5.282c5.355-1.148 8.13-4.121 8.516-9.081.274-3.526.894-3.005.933-6.158l.497-1.493c.573-4.78.091-6.322 3.39-5.605l.802.07c2.428.11 5.606-.391 7.471-1.257 4.016-1.864 6.398-4.976 2.438-4.158"/><path d="M32.747 24.66c-.814-.113-1.552-.008-1.925.274a.7.7 0 0 0-.292.47c-.047.336.188.707.333.898.409.542 1.006.915 1.598.997a2 2 0 0 0 .256.018c.986 0 1.883-.768 1.962-1.335.099-.71-.932-1.183-1.931-1.322m26.975.022c-.078-.556-1.068-.715-2.007-.584s-1.848.554-1.772 1.112c.061.434.844 1.174 1.771 1.174q.117 0 .237-.016c.619-.086 1.073-.479 1.288-.705.329-.345.518-.73.484-.98m15.477 23.828c-.345-1.042-1.453-1.377-3.296-.997-5.471 1.129-7.43.347-8.073-.127 4.252-6.478 7.75-14.308 9.637-21.614.894-3.461 1.388-6.675 1.428-9.294.045-2.876-.445-4.988-1.455-6.279-4.072-5.203-10.048-7.994-17.283-8.07-4.973-.056-9.175 1.217-9.99 1.575a25 25 0 0 0-5.622-.722c-3.734-.06-6.961.834-9.633 2.655a43 43 0 0 0-7.828-2.052c-6.342-1.021-11.381-.248-14.978 2.3-4.291 3.04-6.272 8.475-5.888 16.152.129 2.583 1.601 10.529 3.923 18.139 3.057 10.016 6.38 15.686 9.877 16.852a4.4 4.4 0 0 0 1.402.232c1.276 0 2.839-.575 4.466-2.531a161 161 0 0 1 6.156-6.966 9.9 9.9 0 0 0 4.429 1.191l.01.121c-.31.368-.564.69-.781.965-1.07 1.358-1.293 1.641-4.738 2.351-.98.202-3.582.738-3.62 2.563-.041 1.993 3.076 2.83 3.431 2.919 1.238.31 2.43.463 3.568.463 2.766 0 5.2-.909 7.145-2.668-.06 7.106.236 14.107 1.089 16.241.699 1.746 2.406 6.014 7.798 6.014.791 0 1.662-.092 2.62-.297 5.627-1.207 8.071-3.694 9.016-9.177.506-2.93 1.374-9.928 1.782-13.682.862.269 1.971.392 3.17.392 2.501 0 5.387-.531 7.197-1.372 2.033-.944 5.702-3.261 5.037-5.274zM61.8 23.147c-.019 1.108-.171 2.114-.333 3.164-.174 1.129-.354 2.297-.399 3.715-.045 1.379.128 2.814.294 4.2.337 2.801.682 5.685-.655 8.531a11 11 0 0 1-.592-1.218c-.166-.403-.527-1.05-1.027-1.946-1.944-3.487-6.497-11.652-4.167-14.984.694-.992 2.456-2.011 6.879-1.463zM56.439 4.374c6.482.143 11.609 2.568 15.24 7.207 2.784 3.558-.282 19.749-9.158 33.716l-.269-.339-.112-.14c2.294-3.788 1.845-7.536 1.446-10.859-.164-1.364-.319-2.652-.28-3.861.041-1.283.21-2.382.374-3.446.202-1.311.407-2.667.35-4.265a1.8 1.8 0 0 0 .037-.601c-.144-1.533-1.894-6.12-5.462-10.273-1.951-2.271-4.797-4.813-8.682-6.527a29.3 29.3 0 0 1 6.515-.612zM20.167 53.298c-1.793 2.155-3.031 1.742-3.438 1.607-2.653-.885-5.73-6.491-8.444-15.382-2.348-7.693-3.72-15.428-3.829-17.597-.343-6.86 1.32-11.641 4.943-14.21 5.896-4.181 15.589-1.679 19.484-.409l-.17.163c-6.391 6.455-6.24 17.483-6.224 18.157a22 22 0 0 0 .051 1.135c.11 1.855.315 5.307-.232 9.217-.508 3.633.612 7.189 3.072 9.756q.383.398.795.75a164 164 0 0 0-6.008 6.814zm6.83-9.113c-1.983-2.069-2.884-4.947-2.471-7.896.577-4.13.364-7.727.25-9.659l-.039-.694c.934-.828 5.261-3.146 8.346-2.439 1.408.323 2.266 1.281 2.623 2.931 1.846 8.539.244 12.098-1.043 14.957-.265.589-.516 1.146-.73 1.722l-.166.445c-.42 1.126-.811 2.173-1.053 3.167-2.108-.006-4.159-.907-5.718-2.534zm.324 11.516a5 5 0 0 1-1.494-.642c.271-.128.754-.301 1.591-.474 4.052-.834 4.678-1.423 6.045-3.158.313-.398.669-.849 1.16-1.398.733-.821 1.068-.682 1.676-.43.493.204.972.821 1.167 1.501.092.321.195.93-.143 1.404-2.855 3.997-7.015 3.946-10.003 3.198zm21.207 19.735c-4.957 1.062-6.713-1.467-7.869-4.359-.747-1.867-1.113-10.285-.853-19.582a1.1 1.1 0 0 0-.048-.356 5 5 0 0 0-.139-.657c-.387-1.353-1.331-2.484-2.462-2.953-.45-.186-1.275-.528-2.267-.274.212-.871.578-1.855.976-2.921l.167-.448c.188-.505.423-1.029.673-1.583 1.347-2.992 3.192-7.091 1.19-16.35-.75-3.468-3.254-5.161-7.05-4.768-2.276.235-4.358 1.154-5.396 1.68q-.334.169-.618.329c.29-3.494 1.385-10.024 5.481-14.156 2.579-2.601 6.014-3.886 10.199-3.817 8.246.135 13.534 4.367 16.518 7.893 2.571 3.039 3.964 6.1 4.52 7.751-4.179-.425-7.022.4-8.463 2.46-3.135 4.481 1.715 13.178 4.046 17.358.427.766.796 1.428.912 1.709.759 1.839 1.742 3.067 2.459 3.964.22.275.433.541.596.774-1.266.365-3.539 1.208-3.332 5.422-.167 2.115-1.356 12.016-1.959 15.514-.797 4.621-2.497 6.343-7.279 7.368zm20.693-23.68c-1.294.601-3.46 1.052-5.518 1.148-2.273.107-3.43-.255-3.702-.477-.128-2.626.85-2.901 1.884-3.191.163-.046.321-.09.474-.144a4 4 0 0 0 .313.23c1.827 1.206 5.085 1.336 9.685.386l.05-.01c-.62.58-1.682 1.359-3.187 2.058z"/></g></symbol></svg>"},"displayName":"Postgres","typeVersion":3,"nodeCategories":[{"id":3,"name":"Data & Storage"},{"id":5,"name":"Development"}]},{"id":38,"icon":"fa:pen","name":"n8n-nodes-base.set","codex":{"data":{"alias":["Set","JS","JSON","Filter","Transform","Map"],"resources":{"generic":[{"url":"https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/","icon":"🏭","label":"Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide"},{"url":"https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/","icon":"☀️","label":"2021: The Year to Automate the New You with n8n"},{"url":"https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/","icon":"📈","label":"Automatically pulling and visualizing data with n8n"},{"url":"https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/","icon":"📡","label":"Database Monitoring and Alerting with n8n"},{"url":"https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/","icon":"🧾","label":"Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"},{"url":"https://n8n.io/blog/no-code-ecommerce-workflow-automations/","icon":"store","label":"6 e-commerce workflows to power up your Shopify s"},{"url":"https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/","icon":"🔗","label":"How to build a low-code, self-hosted URL shortener in 3 steps"},{"url":"https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/","icon":"⚙️","label":"Automate your data processing pipeline in 9 steps"},{"url":"https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/","icon":"👥","label":"How to get started with CRM automation (with 3 no-code workflow ideas"},{"url":"https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/","icon":"⚡️","label":"5 tasks you can automate with the new Notion API "},{"url":"https://n8n.io/blog/automate-google-apps-for-productivity/","icon":"💡","label":"15 Google apps you can combine and automate to increase productivity"},{"url":"https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/","icon":" 🕸️","label":"How uProc scraped a multi-page website with a low-code workflow"},{"url":"https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/","icon":"📱","label":"Building an expense tracking app in 10 minutes"},{"url":"https://n8n.io/blog/the-ultimate-guide-to-automate-your-video-collaboration-with-whereby-mattermost-and-n8n/","icon":"📹","label":"The ultimate guide to automate your video collaboration with Whereby, Mattermost, and n8n"},{"url":"https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/","icon":"🤖","label":"5 workflow automations for Mattermost that we love at n8n"},{"url":"https://n8n.io/blog/learn-to-build-powerful-api-endpoints-using-webhooks/","icon":"🧰","label":"Learn to Build Powerful API Endpoints Using Webhooks"},{"url":"https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/","icon":"📈","label":"How a Membership Development Manager automates his work and investments"},{"url":"https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/","icon":"📈","label":"A low-code bitcoin ticker built with QuestDB and n8n.io"},{"url":"https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/","icon":"🎡","label":"How to set up a no-code CI/CD pipeline with GitHub and TravisCI"},{"url":"https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/","icon":"🎖","label":"Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"},{"url":"https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/","icon":"🛵","label":"How Goomer automated their operations with over 200 n8n workflows"},{"url":"https://n8n.io/blog/aws-workflow-automation/","label":"7 no-code workflow automations for Amazon Web Services"}],"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set/"}]},"categories":["Core Nodes"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"Core Nodes":["Data Transformation"]}}},"group":"[\"input\"]","defaults":{"name":"Edit Fields"},"iconData":{"icon":"pen","type":"icon"},"displayName":"Edit Fields (Set)","typeVersion":3,"nodeCategories":[{"id":9,"name":"Core Nodes"}]},{"id":47,"icon":"file:webhook.svg","name":"n8n-nodes-base.webhook","codex":{"data":{"alias":["HTTP","API","Build","WH"],"resources":{"generic":[{"url":"https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/","icon":"✍️","label":"Learn how to automatically cross-post your content with n8n"},{"url":"https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/","icon":"🛳","label":"Running n8n on ships: An interview with Maranics"},{"url":"https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/","icon":"🔗","label":"How to build a low-code, self-hosted URL shortener in 3 steps"},{"url":"https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/","icon":" 🪢","label":"What are APIs and how to use them with no code"},{"url":"https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/","icon":"⚡️","label":"5 tasks you can automate with the new Notion API "},{"url":"https://n8n.io/blog/how-a-digital-strategist-uses-n8n-for-online-marketing/","icon":"💻","label":"How a digital strategist uses n8n for online marketing"},{"url":"https://n8n.io/blog/the-ultimate-guide-to-automate-your-video-collaboration-with-whereby-mattermost-and-n8n/","icon":"📹","label":"The ultimate guide to automate your video collaboration with Whereby, Mattermost, and n8n"},{"url":"https://n8n.io/blog/how-to-automatically-give-kudos-to-contributors-with-github-slack-and-n8n/","icon":"👏","label":"How to automatically give kudos to contributors with GitHub, Slack, and n8n"},{"url":"https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/","icon":"🤖","label":"5 workflow automations for Mattermost that we love at n8n"},{"url":"https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/","icon":"🧠","label":"Why this Product Manager loves workflow automation with n8n"},{"url":"https://n8n.io/blog/creating-custom-incident-response-workflows-with-n8n/","label":"How to automate every step of an incident response workflow"},{"url":"https://n8n.io/blog/learn-to-build-powerful-api-endpoints-using-webhooks/","icon":"🧰","label":"Learn to Build Powerful API Endpoints Using Webhooks"},{"url":"https://n8n.io/blog/learn-how-to-use-webhooks-with-mattermost-slash-commands/","icon":"🦄","label":"Learn how to use webhooks with Mattermost slash commands"},{"url":"https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/","icon":"🛵","label":"How Goomer automated their operations with over 200 n8n workflows"}],"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.webhook/"}]},"categories":["Development","Core Nodes"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"Core Nodes":["Helpers"]}}},"group":"[\"trigger\"]","defaults":{"name":"Webhook"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,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"},"displayName":"Webhook","typeVersion":2,"nodeCategories":[{"id":5,"name":"Development"},{"id":9,"name":"Core Nodes"}]},{"id":112,"icon":"fa:map-signs","name":"n8n-nodes-base.switch","codex":{"data":{"alias":["Router","If","Path","Filter","Condition","Logic","Branch","Case"],"resources":{"generic":[{"url":"https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/","icon":"☀️","label":"2021: The Year to Automate the New You with n8n"},{"url":"https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/","icon":"👥","label":"How to get started with CRM automation (with 3 no-code workflow ideas"},{"url":"https://n8n.io/blog/build-your-own-virtual-assistant-with-n8n-a-step-by-step-guide/","icon":"👦","label":"Build your own virtual assistant with n8n: A step by step guide"},{"url":"https://n8n.io/blog/automation-for-maintainers-of-open-source-projects/","icon":"🏷️","label":"How to automatically manage contributions to open-source projects"}],"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.switch/"}]},"categories":["Core Nodes"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"Core Nodes":["Flow"]}}},"group":"[\"transform\"]","defaults":{"name":"Switch","color":"#506000"},"iconData":{"icon":"map-signs","type":"icon"},"displayName":"Switch","typeVersion":3,"nodeCategories":[{"id":9,"name":"Core Nodes"}]},{"id":535,"icon":"file:webhook.svg","name":"n8n-nodes-base.respondToWebhook","codex":{"data":{"resources":{"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.respondtowebhook/"}]},"categories":["Core Nodes","Utility"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"Core Nodes":["Helpers"]}}},"group":"[\"transform\"]","defaults":{"name":"Respond to Webhook"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,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"},"displayName":"Respond to Webhook","typeVersion":2,"nodeCategories":[{"id":7,"name":"Utility"},{"id":9,"name":"Core Nodes"}]},{"id":565,"icon":"fa:sticky-note","name":"n8n-nodes-base.stickyNote","codex":{"data":{"alias":["Comments","Notes","Sticky"],"categories":["Core Nodes"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"Core Nodes":["Helpers"]}}},"group":"[\"input\"]","defaults":{"name":"Sticky Note","color":"#FFD233"},"iconData":{"icon":"sticky-note","type":"icon"},"displayName":"Sticky Note","typeVersion":1,"nodeCategories":[{"id":9,"name":"Core Nodes"}]},{"id":1119,"icon":"fa:robot","name":"@n8n/n8n-nodes-langchain.agent","codex":{"data":{"alias":["LangChain","Chat","Conversational","Plan and Execute","ReAct","Tools"],"resources":{"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"}]},"categories":["AI","Langchain"],"subcategories":{"AI":["Agents","Root Nodes"]}}},"group":"[\"transform\"]","defaults":{"name":"AI Agent","color":"#404040"},"iconData":{"icon":"robot","type":"icon"},"displayName":"AI Agent","typeVersion":3,"nodeCategories":[{"id":25,"name":"AI"},{"id":26,"name":"Langchain"}]},{"id":1141,"icon":"file:openAiLight.svg","name":"@n8n/n8n-nodes-langchain.embeddingsOpenAi","codex":{"data":{"resources":{"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsopenai/"}]},"categories":["AI","Langchain"],"subcategories":{"AI":["Embeddings"]}}},"group":"[\"transform\"]","defaults":{"name":"Embeddings OpenAI"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,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"},"displayName":"Embeddings OpenAI","typeVersion":1,"nodeCategories":[{"id":25,"name":"AI"},{"id":26,"name":"Langchain"}]},{"id":1153,"icon":"file:openAiLight.svg","name":"@n8n/n8n-nodes-langchain.lmChatOpenAi","codex":{"data":{"resources":{"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/"}]},"categories":["AI","Langchain"],"subcategories":{"AI":["Language Models","Root Nodes"],"Language Models":["Chat Models (Recommended)"]}}},"group":"[\"transform\"]","defaults":{"name":"OpenAI Chat Model"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,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"},"displayName":"OpenAI Chat Model","typeVersion":1,"nodeCategories":[{"id":25,"name":"AI"},{"id":26,"name":"Langchain"}]},{"id":1191,"icon":"fa:grip-lines-vertical","name":"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter","codex":{"data":{"resources":{"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter/"}]},"categories":["AI","Langchain"],"subcategories":{"AI":["Text Splitters"]}}},"group":"[\"transform\"]","defaults":{"name":"Recursive Character Text Splitter"},"iconData":{"icon":"grip-lines-vertical","type":"icon"},"displayName":"Recursive Character Text Splitter","typeVersion":1,"nodeCategories":[{"id":25,"name":"AI"},{"id":26,"name":"Langchain"}]},{"id":1235,"icon":"file:extractFromFile.svg","name":"n8n-nodes-base.extractFromFile","codex":{"data":{"alias":["CSV","Spreadsheet","Excel","xls","xlsx","ods","tabular","decode","decoding","Move Binary Data","Binary","File","PDF","JSON","HTML","ICS","iCal","txt","Text","RTF","XML","64","Base64","Convert"],"resources":{"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.extractfromfile/"}]},"categories":["Core Nodes"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"Core Nodes":["Files","Data Transformation"]}}},"group":"[\"input\"]","defaults":{"name":"Extract from File"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,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"},"displayName":"Extract from File","typeVersion":1,"nodeCategories":[{"id":9,"name":"Core Nodes"}]},{"id":1243,"icon":"file:binary.svg","name":"@n8n/n8n-nodes-langchain.documentDefaultDataLoader","codex":{"data":{"resources":{"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.documentdefaultdataloader/"}]},"categories":["AI","Langchain"],"subcategories":{"AI":["Document Loaders"]}}},"group":"[\"transform\"]","defaults":{"name":"Default Data Loader"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI3NjgiIGhlaWdodD0iMTAyNCI+PHBhdGggZmlsbD0iIzdEN0Q4NyIgZD0iTTAgOTYwVjY0aDU3NmwxOTIgMTkydjcwNHptNzA0LTY0MEw1MTIgMTI4SDY0djc2OGg2NDB6TTMyMCA1MTJIMTI4VjI1NmgxOTJ6bS02NC0xOTJoLTY0djEyOGg2NHptMCA0NDhoNjR2NjRIMTI4di02NGg2NFY2NDBoLTY0di02NGgxMjh6bTI1Ni0zMjBoNjR2NjRIMzg0di02NGg2NFYzMjBoLTY0di02NGgxMjh6bTY0IDM4NEgzODRWNTc2aDE5MnptLTY0LTE5MmgtNjR2MTI4aDY0eiIvPjwvc3ZnPg=="},"displayName":"Default Data Loader","typeVersion":1,"nodeCategories":[{"id":25,"name":"AI"},{"id":26,"name":"Langchain"}]},{"id":1269,"icon":"fa:database","name":"@n8n/n8n-nodes-langchain.toolVectorStore","codex":{"data":{"resources":{"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolvectorstore/"}]},"categories":["AI","Langchain"],"subcategories":{"AI":["Tools"],"Tools":["Other Tools"]}}},"group":"[\"transform\"]","defaults":{"name":"Answer questions with a vector store"},"iconData":{"icon":"database","type":"icon"},"displayName":"Vector Store Question Answer Tool","typeVersion":1,"nodeCategories":[{"id":25,"name":"AI"},{"id":26,"name":"Langchain"}]},{"id":1278,"icon":"file:postgres.svg","name":"@n8n/n8n-nodes-langchain.vectorStorePGVector","codex":{"data":{"resources":{"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepgvector/"}]},"categories":["AI","Langchain"],"subcategories":{"AI":["Vector Stores","Tools","Root Nodes"],"Tools":["Other Tools"],"Vector Stores":["Other Vector Stores"]}}},"group":"[\"transform\"]","defaults":{"name":"Postgres PGVector Store"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" fill="#fff" fill-rule="evenodd" stroke="#000" stroke-linecap="round" stroke-linejoin="round" viewBox="0 0 79 81"><use xlink:href="#a" x=".5" y=".5"/><symbol id="a" overflow="visible"><g fill-rule="nonzero" stroke="none"><path fill="#000" d="M77.391 47.922c-.466-1.412-1.688-2.396-3.268-2.632-.745-.111-1.598-.064-2.608.144-1.76.363-3.065.501-4.018.528 3.596-6.072 6.521-12.997 8.204-19.515 2.722-10.54 1.268-15.341-.432-17.513C70.77 3.185 64.206.097 56.287.002c-4.224-.052-7.933.782-9.867 1.382a37 37 0 0 0-5.77-.528c-3.809-.061-7.174.77-10.05 2.476a46 46 0 0 0-7.098-1.782C16.561.411 10.968 1.299 6.876 4.19 1.922 7.689-.375 13.77.05 22.262c.135 2.696 1.643 10.9 4.018 18.68 1.365 4.472 2.82 8.185 4.326 11.038 2.135 4.046 4.419 6.428 6.984 7.284 1.438.479 4.049.814 6.797-1.473a6 6 0 0 0 1.429 1.23c.783.494 1.74.897 2.696 1.136 3.446.862 6.674.646 9.427-.561l.041 1.362.06 1.899c.163 4.064.44 7.223 1.259 9.434.045.122.105.307.169.503.409 1.251 1.092 3.346 2.83 4.987 1.8 1.699 3.978 2.22 5.972 2.22 1 0 1.955-.131 2.792-.311 2.984-.639 6.373-1.614 8.824-5.104 2.318-3.3 3.444-8.27 3.648-16.101l.074-.634.048-.414.546.048.141.01c3.039.138 6.755-.506 9.037-1.566 1.803-.837 7.582-3.888 6.221-8.007"/><path fill="#336791" d="M72.195 48.723c-9.036 1.864-9.657-1.195-9.657-1.195 9.541-14.157 13.529-32.127 10.087-36.525C63.235-.994 46.981 4.68 46.71 4.827l-.087.016c-1.785-.371-3.783-.591-6.029-.628-4.089-.067-7.19 1.072-9.544 2.857 0 0-28.995-11.945-27.647 15.023.287 5.737 8.223 43.41 17.689 32.031 3.46-4.161 6.803-7.679 6.803-7.679 1.66 1.103 3.648 1.666 5.732 1.463l.162-.137a6.3 6.3 0 0 0 .065 1.62c-2.439 2.725-1.722 3.203-6.597 4.206-4.933 1.017-2.035 2.826-.143 3.299 2.294.574 7.6 1.386 11.185-3.633l-.143.573c.956.765 1.626 4.978 1.514 8.797s-.188 6.441.565 8.489 1.503 6.656 7.912 5.282c5.355-1.148 8.13-4.121 8.516-9.081.274-3.526.894-3.005.933-6.158l.497-1.493c.573-4.78.091-6.322 3.39-5.605l.802.07c2.428.11 5.606-.391 7.471-1.257 4.016-1.864 6.398-4.976 2.438-4.158"/><path d="M32.747 24.66c-.814-.113-1.552-.008-1.925.274a.7.7 0 0 0-.292.47c-.047.336.188.707.333.898.409.542 1.006.915 1.598.997a2 2 0 0 0 .256.018c.986 0 1.883-.768 1.962-1.335.099-.71-.932-1.183-1.931-1.322m26.975.022c-.078-.556-1.068-.715-2.007-.584s-1.848.554-1.772 1.112c.061.434.844 1.174 1.771 1.174q.117 0 .237-.016c.619-.086 1.073-.479 1.288-.705.329-.345.518-.73.484-.98m15.477 23.828c-.345-1.042-1.453-1.377-3.296-.997-5.471 1.129-7.43.347-8.073-.127 4.252-6.478 7.75-14.308 9.637-21.614.894-3.461 1.388-6.675 1.428-9.294.045-2.876-.445-4.988-1.455-6.279-4.072-5.203-10.048-7.994-17.283-8.07-4.973-.056-9.175 1.217-9.99 1.575a25 25 0 0 0-5.622-.722c-3.734-.06-6.961.834-9.633 2.655a43 43 0 0 0-7.828-2.052c-6.342-1.021-11.381-.248-14.978 2.3-4.291 3.04-6.272 8.475-5.888 16.152.129 2.583 1.601 10.529 3.923 18.139 3.057 10.016 6.38 15.686 9.877 16.852a4.4 4.4 0 0 0 1.402.232c1.276 0 2.839-.575 4.466-2.531a161 161 0 0 1 6.156-6.966 9.9 9.9 0 0 0 4.429 1.191l.01.121c-.31.368-.564.69-.781.965-1.07 1.358-1.293 1.641-4.738 2.351-.98.202-3.582.738-3.62 2.563-.041 1.993 3.076 2.83 3.431 2.919 1.238.31 2.43.463 3.568.463 2.766 0 5.2-.909 7.145-2.668-.06 7.106.236 14.107 1.089 16.241.699 1.746 2.406 6.014 7.798 6.014.791 0 1.662-.092 2.62-.297 5.627-1.207 8.071-3.694 9.016-9.177.506-2.93 1.374-9.928 1.782-13.682.862.269 1.971.392 3.17.392 2.501 0 5.387-.531 7.197-1.372 2.033-.944 5.702-3.261 5.037-5.274zM61.8 23.147c-.019 1.108-.171 2.114-.333 3.164-.174 1.129-.354 2.297-.399 3.715-.045 1.379.128 2.814.294 4.2.337 2.801.682 5.685-.655 8.531a11 11 0 0 1-.592-1.218c-.166-.403-.527-1.05-1.027-1.946-1.944-3.487-6.497-11.652-4.167-14.984.694-.992 2.456-2.011 6.879-1.463zM56.439 4.374c6.482.143 11.609 2.568 15.24 7.207 2.784 3.558-.282 19.749-9.158 33.716l-.269-.339-.112-.14c2.294-3.788 1.845-7.536 1.446-10.859-.164-1.364-.319-2.652-.28-3.861.041-1.283.21-2.382.374-3.446.202-1.311.407-2.667.35-4.265a1.8 1.8 0 0 0 .037-.601c-.144-1.533-1.894-6.12-5.462-10.273-1.951-2.271-4.797-4.813-8.682-6.527a29.3 29.3 0 0 1 6.515-.612zM20.167 53.298c-1.793 2.155-3.031 1.742-3.438 1.607-2.653-.885-5.73-6.491-8.444-15.382-2.348-7.693-3.72-15.428-3.829-17.597-.343-6.86 1.32-11.641 4.943-14.21 5.896-4.181 15.589-1.679 19.484-.409l-.17.163c-6.391 6.455-6.24 17.483-6.224 18.157a22 22 0 0 0 .051 1.135c.11 1.855.315 5.307-.232 9.217-.508 3.633.612 7.189 3.072 9.756q.383.398.795.75a164 164 0 0 0-6.008 6.814zm6.83-9.113c-1.983-2.069-2.884-4.947-2.471-7.896.577-4.13.364-7.727.25-9.659l-.039-.694c.934-.828 5.261-3.146 8.346-2.439 1.408.323 2.266 1.281 2.623 2.931 1.846 8.539.244 12.098-1.043 14.957-.265.589-.516 1.146-.73 1.722l-.166.445c-.42 1.126-.811 2.173-1.053 3.167-2.108-.006-4.159-.907-5.718-2.534zm.324 11.516a5 5 0 0 1-1.494-.642c.271-.128.754-.301 1.591-.474 4.052-.834 4.678-1.423 6.045-3.158.313-.398.669-.849 1.16-1.398.733-.821 1.068-.682 1.676-.43.493.204.972.821 1.167 1.501.092.321.195.93-.143 1.404-2.855 3.997-7.015 3.946-10.003 3.198zm21.207 19.735c-4.957 1.062-6.713-1.467-7.869-4.359-.747-1.867-1.113-10.285-.853-19.582a1.1 1.1 0 0 0-.048-.356 5 5 0 0 0-.139-.657c-.387-1.353-1.331-2.484-2.462-2.953-.45-.186-1.275-.528-2.267-.274.212-.871.578-1.855.976-2.921l.167-.448c.188-.505.423-1.029.673-1.583 1.347-2.992 3.192-7.091 1.19-16.35-.75-3.468-3.254-5.161-7.05-4.768-2.276.235-4.358 1.154-5.396 1.68q-.334.169-.618.329c.29-3.494 1.385-10.024 5.481-14.156 2.579-2.601 6.014-3.886 10.199-3.817 8.246.135 13.534 4.367 16.518 7.893 2.571 3.039 3.964 6.1 4.52 7.751-4.179-.425-7.022.4-8.463 2.46-3.135 4.481 1.715 13.178 4.046 17.358.427.766.796 1.428.912 1.709.759 1.839 1.742 3.067 2.459 3.964.22.275.433.541.596.774-1.266.365-3.539 1.208-3.332 5.422-.167 2.115-1.356 12.016-1.959 15.514-.797 4.621-2.497 6.343-7.279 7.368zm20.693-23.68c-1.294.601-3.46 1.052-5.518 1.148-2.273.107-3.43-.255-3.702-.477-.128-2.626.85-2.901 1.884-3.191.163-.046.321-.09.474-.144a4 4 0 0 0 .313.23c1.827 1.206 5.085 1.336 9.685.386l.05-.01c-.62.58-1.682 1.359-3.187 2.058z"/></g></symbol></svg>"},"displayName":"Postgres PGVector Store","typeVersion":1,"nodeCategories":[{"id":25,"name":"AI"},{"id":26,"name":"Langchain"}]}],"categories":[{"id":42,"name":"Internal Wiki"},{"id":48,"name":"AI RAG"}],"image":[]}}