From 241bb8d97668c1004e64308f0380e15dcbcc0e96 Mon Sep 17 00:00:00 2001 From: nusquama Date: Thu, 20 Nov 2025 09:27:12 +0100 Subject: [PATCH] creation --- ...ith_openai_chatbot_using_rag_and_text-to-sql_via_peliqan.json | 1 + 1 file changed, 1 insertion(+) create mode 100644 workflows/Query Business Data with OpenAI Chatbot Using RAG and Text-to-SQL via Peliqan-6706/query_business_data_with_openai_chatbot_using_rag_and_text-to-sql_via_peliqan.json diff --git a/workflows/Query Business Data with OpenAI Chatbot Using RAG and Text-to-SQL via Peliqan-6706/query_business_data_with_openai_chatbot_using_rag_and_text-to-sql_via_peliqan.json b/workflows/Query Business Data with OpenAI Chatbot Using RAG and Text-to-SQL via Peliqan-6706/query_business_data_with_openai_chatbot_using_rag_and_text-to-sql_via_peliqan.json new file mode 100644 index 000000000..f57d08e08 --- /dev/null +++ b/workflows/Query Business Data with OpenAI Chatbot Using RAG and Text-to-SQL via Peliqan-6706/query_business_data_with_openai_chatbot_using_rag_and_text-to-sql_via_peliqan.json @@ -0,0 +1 @@ +{"id":"tOuJ5G8V3Gn5K8S3","meta":{"instanceId":"099d2f77145c9531b53ad159b0ebfb1ccabcdf3271c3f2ea6031f0d670dfce9d"},"name":"Peliqan AI Agent with RAG and Text to SQL on all business data","tags":[],"nodes":[{"id":"cc63f8f0-11d3-4f4b-aabb-13d2e0259137","name":"When chat message received","type":"@n8n/n8n-nodes-langchain.chatTrigger","position":[560,60],"webhookId":"739010cb-04ab-4265-8ae8-639c6ed3c1a7","parameters":{"public":true,"options":{}},"typeVersion":1.1},{"id":"98843dd9-5249-4312-b9fb-bf0ebcaddd23","name":"AI Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[760,60],"parameters":{"options":{"systemMessage":"You are an assistant answering questions on internal business data.\n\nYou can use the Vector Store to find info, which contains all pages of Notion (intranet) with internal knowledge.\n\nYou can also run SQL queries for quantitive questions on tables. To execute an SQL query: send the query to Peliqan tool \"Execute SQL\" in a key SQL_Query__View_. Get the results from key \"detail\".\n\nThis is the data model of tables & columns that can be used in SQL queries:\n\nColumns in table chargebee.customers:\n\ncustomer_id\ncustomer_first_name\ncustomer_last_name\ncustomer_email\ncustomer_phone\n\nColumns in table chargebee.credit_notes:\n\ncredit_note_id\ncredit_note_customer_id\ncredit_note_subscription_id\ncredit_note_reference_invoice_id\ncredit_note_type\n\nColumns in table chargebee.invoices:\n\ninvoice_id\ninvoice_customer_id\ninvoice_subscription_id\n\n(etc. truncated)"}},"typeVersion":1.6,"alwaysOutputData":true},{"id":"b11813b4-255b-4fe3-ab4e-a8cc89cc3c47","name":"OpenAI Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[660,360],"parameters":{"options":{}},"credentials":{"openAiApi":{"id":"M7PfgdYEq3kOh6KS","name":"OpenAI account"}},"typeVersion":1},{"id":"7ddae437-a9d2-48b0-971a-ef04e524719d","name":"Embeddings OpenAI for RAG retrieval","type":"@n8n/n8n-nodes-langchain.embeddingsOpenAi","position":[1460,340],"parameters":{"options":{}},"credentials":{"openAiApi":{"id":"M7PfgdYEq3kOh6KS","name":"OpenAI account"}},"typeVersion":1},{"id":"b8103994-de99-41ed-ae9f-194c4c27c3ac","name":"Default Data Loader","type":"@n8n/n8n-nodes-langchain.documentDefaultDataLoader","position":[1240,880],"parameters":{"options":{"metadata":{"metadataValues":[{"name":"source_url","value":"={{ $json._source_url }}"},{"name":"title","value":"={{ $json.title }}"}]}},"jsonData":"=# {{ $json.title + '\\n' + $json.content }}","jsonMode":"expressionData"},"typeVersion":1},{"id":"ffdcccfa-38bf-4a44-b023-5e5f6894b6c9","name":"Recursive Character Text Splitter","type":"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter","position":[1340,1040],"parameters":{"options":{},"chunkSize":500,"chunkOverlap":100},"typeVersion":1},{"id":"027cd3b8-ac8c-4823-bec4-88f3283032aa","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[0,0],"parameters":{"color":4,"width":466,"height":568,"content":"## ℹ️ Introduction\n\nEnd-to-end demo of a chatbot using business data from multiple sources (e.g. Notion, Chargebee, Hubspot etc.) with RAG + SQL.\n\nPeliqan.io is used as a \"cache\" of all business data. Peliqan uses one-click ELT to sync all your business data to its built-in data warehouse, allowing for fast & accurate RAG and \"Text to SQL\" queries.\n\n## ⚙️ Setup\n\n* Sign up for a free trial on peliqan.io.\n* Add one or more sources in Peliqan (e.g. Hubspot, Pipedrive...)\n* Copy your Peliqan API key under settings and use it here to add a Peliqan connection\n* Run the \"RAG\" workflow to feed Supabase, change the name of the table in the Peliqan node \"Get table data\".\n* Update the list of tables & columns that can be used for SQL in the System Message of the AI Agent.\n\nVisit peliqan.io/n8n for more information."},"typeVersion":1},{"id":"16a0b8cb-5951-471f-9e52-b64f3402b93f","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[1160,480],"parameters":{"color":2,"width":471,"height":80,"content":"⚠️ To use the Peliqan as tool with Operation \"Execute SQL query\":\nset the below env variable. Run on command line:\n`export N8N_COMMUNITY_PACKAGES_ALLOW_TOOL_USAGE=True`"},"typeVersion":1},{"id":"4de2cc17-0ab2-4151-8ca0-4599bff5f277","name":"Simple Memory","type":"@n8n/n8n-nodes-langchain.memoryBufferWindow","position":[840,360],"parameters":{},"typeVersion":1.3},{"id":"d03704ed-4de6-4a4d-b610-ae67e9a49f35","name":"When clicking ‘Execute workflow’","type":"n8n-nodes-base.manualTrigger","position":[660,680],"parameters":{},"typeVersion":1},{"id":"110a543f-df76-439b-901f-79e95a1df5eb","name":"Supabase Vector Store to store vectors for RAG","type":"@n8n/n8n-nodes-langchain.vectorStoreSupabase","position":[1060,680],"parameters":{"mode":"insert","options":{},"tableName":{"__rl":true,"mode":"list","value":"documents","cachedResultName":"documents"}},"credentials":{"supabaseApi":{"id":"0RqCjpmEyvu8ej68","name":"Supabase account"}},"typeVersion":1},{"id":"a7c489b9-a8d5-4935-a9c6-c4ae688f965f","name":"Get table data","type":"n8n-nodes-peliqan.peliqan","position":[860,680],"parameters":{"tableId":"200653"},"credentials":{"peliqanApi":{"id":"2bFUq08nljtlKvBX","name":"Peliqan account"}},"typeVersion":1},{"id":"8016626a-ec2b-4f38-b992-54b5ebce288e","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[1140,0],"parameters":{"width":512,"height":576,"content":"## Tools for AI Agent: SQL & RAG"},"typeVersion":1},{"id":"246046cd-c673-44b2-ae62-214a6c930c27","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[500,0],"parameters":{"color":3,"width":608,"height":576,"content":"## AI Chatbot"},"typeVersion":1},{"id":"bad3518b-e305-4353-99c8-803d8dfd6a7c","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[620,280],"parameters":{"color":6,"width":384,"height":224,"content":"## Brain"},"typeVersion":1},{"id":"75bece3d-9d7d-40dc-9aab-7c3ef05e072a","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[500,620],"parameters":{"color":5,"width":1152,"height":564,"content":"## Feed data into Vector Store (for RAG)"},"typeVersion":1},{"id":"e6333a44-3c13-4932-a70e-edce7145746d","name":"Execute an SQL query via Peliqan","type":"n8n-nodes-peliqan.peliqanTool","position":[1200,220],"parameters":{"querySql":"={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('SQL_Query', ``, 'string') }}","resource":"query","operation":"exec","connection":"1163"},"credentials":{"peliqanApi":{"id":"2bFUq08nljtlKvBX","name":"Peliqan account"}},"typeVersion":1},{"id":"d9fd10f5-3395-4139-859d-a79cbdecdbad","name":"Supabase Vector Store for search","type":"@n8n/n8n-nodes-langchain.vectorStoreSupabase","position":[1340,220],"parameters":{"mode":"retrieve-as-tool","options":{},"toolName":"Company_knowledge_base","tableName":{"__rl":true,"mode":"list","value":"documents","cachedResultName":"documents"},"toolDescription":"Use this to find internal knowledge from e.g. Notion"},"credentials":{"supabaseApi":{"id":"0RqCjpmEyvu8ej68","name":"Supabase account"}},"typeVersion":1.1},{"id":"f07d0cf9-4c45-4129-971a-6619355668e9","name":"Embeddings OpenAI for RAG","type":"@n8n/n8n-nodes-langchain.embeddingsOpenAi","position":[1100,880],"parameters":{"options":{}},"credentials":{"openAiApi":{"id":"M7PfgdYEq3kOh6KS","name":"OpenAI account"}},"typeVersion":1}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"8555c957-842d-42d4-9840-c5edc3892dba","connections":{"Simple Memory":{"ai_memory":[[{"node":"AI Agent","type":"ai_memory","index":0}]]},"Get table data":{"main":[[{"node":"Supabase Vector Store to store vectors for RAG","type":"main","index":0}]]},"OpenAI Chat Model":{"ai_languageModel":[[{"node":"AI Agent","type":"ai_languageModel","index":0}]]},"Default Data Loader":{"ai_document":[[{"node":"Supabase Vector Store to store vectors for RAG","type":"ai_document","index":0}]]},"Embeddings OpenAI for RAG":{"ai_embedding":[[{"node":"Supabase Vector Store to store vectors for RAG","type":"ai_embedding","index":0}]]},"When chat message received":{"main":[[{"node":"AI Agent","type":"main","index":0}]]},"Execute an SQL query via Peliqan":{"ai_tool":[[{"node":"AI Agent","type":"ai_tool","index":0}]]},"Supabase Vector Store for search":{"ai_tool":[[{"node":"AI Agent","type":"ai_tool","index":0}]]},"Recursive Character Text Splitter":{"ai_textSplitter":[[{"node":"Default Data Loader","type":"ai_textSplitter","index":0}]]},"Embeddings OpenAI for RAG retrieval":{"ai_embedding":[[{"node":"Supabase Vector Store for search","type":"ai_embedding","index":0}]]},"When clicking ‘Execute workflow’":{"main":[[{"node":"Get table data","type":"main","index":0}]]}}} \ No newline at end of file