Integrate OpenAI Chatbot with Business Data Using Peliqan for RAG and SQL Queries - n8n Workflow | Neura Market
Integrate OpenAI Chatbot with Business Data Using Peliqan for RAG and SQL Queries
This workflow demonstrates how to integrate an OpenAI chatbot with business data from multiple sources using Peliqan for RAG and SQL queries. It enables efficient data retrieval and analysis by leveraging Peliqan's data warehouse capabilities.
This workflow is designed to enhance business data interaction through a chatbot that uses Retrieval-Augmented Generation (RAG) and SQL queries. Peliqan acts as a data cache, syncing business data into a data warehouse for fast access. The workflow writes source data to Supabase as a vector store for RAG searches, while SQL queries are executed via Peliqan to handle analytical questions. The AI Agent intelligently decides whether to use RAG, SQL, or both, based on the nature of the user's query.
Platform
n8n
Category
AI
Price
Free
Creator
Lucas Silva
stickyNote
peliqan
manualTrigger
peliqanTool
agent
chatTrigger
lmChatOpenAi
embeddingsOpenAi
memoryBufferWindow
vectorStoreSupabase
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.