IPL Cricket Rules Q&A Chatbot with RAG & Google Gemini
Creates a RAG-powered chatbot for accurate IPL cricket rules queries using Google Gemini embeddings and vector store for grounded responses.
This n8n workflow builds an intelligent Q&A chatbot specialized in IPL cricket rules by implementing Retrieval-Augmented Generation (RAG). In Step 1, it downloads the official IPL 'Match Playing Conditions' PDF via HTTP Request, extracts text using Default Data Loader, splits it into overlapping chunks with Recursive Character Text Splitter to minimize context loss, generates embeddings with Google Gemini, and stores them in a Simple Vector Store for retrieval.
Step 2 activates a chat interface via Chat Trigger, maintains conversation context with Simple Memory (last 20 turns), retrieves top-10 relevant chunks from the vector store using the same embedding model, and feeds them to Google Gemini API for precise, hallucination-free responses.
Benefits include reliable, source-grounded answers for complex rules queries, easy setup with n8n's native nodes, and scalability to enterprise vector stores. Ideal for IPL event marketing, fan engagement apps, sports websites, or customer support during cricket seasons, saving hours on manual research and boosting user satisfaction with instant expertise.
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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.
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