IPL Cricket Rules Q&A Chat Bot with RAG and Google Gemini

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This n8n workflow creates an interactive IPL cricket Q&A chatbot utilizing Retrieval-Augmented Generation (RAG) with Google Gemini API. Designed to provide accurate cricket information, the workflow guides users through a step-by-step process including data ingestion, embedding, and vector storage, culminating in an AI-powered chat interface. The workflow begins with a manual trigger to download a PDF of match conditions, extracts and splits the text, generates embeddings, and stores them in an in-memory vector store. When a user sends a query, it retrieves the most relevant data chunks, leverages Google Gemini for generating responses, and maintains conversational context. This setup ensures the bot answers cricket-related questions precisely based on the provided data, making it ideal for cricket enthusiasts, sports organizations, or cricket education platforms.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsGoogleGemini, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreInMemory, httpRequest, manualTrigger, stickyNote

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