Templates
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Showing 837 templates
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Automatically qualifies and scores new sales leads in Google Sheets using GPT-4's AI analysis, streamlining lead prioritization and improving sales efficiency.
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Automatically analyzes and qualifies email responses from Pipedrive contacts using AI to determine lead quality and sentiment, streamlining sales follow-up prioritization.
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Automates the qualification and scheduling of appointment requests using AI to evaluate form submissions and intelligently route qualified leads to calendar scheduling and email follow-up.
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Enables AI-powered querying of n8n credential data using natural language, allowing users to analyze and retrieve credential information through conversational SQL queries.
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Enables automated AI-powered research and information gathering by integrating Perplexity AI's capabilities into n8n workflows for intelligent data processing and analysis.
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Automated workflow: Quickchart Workflow. This workflow integrates 6 different services: stickyNote, googleDrive, set, stopAndError, quickChart. It contains 6 nodes and follows best
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Builds a RAG-enabled AI chatbot that can answer questions based on WordPress content by embedding posts into a vector database and using LLMs for retrieval and response generation.
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Automated workflow: RAG AI Agent with Milvus and Cohere. This workflow integrates 13 different services: stickyNote, googleDriveTrigger, textSplitterRecursiveCharacterTextSplitter,
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Automated workflow: RAG on living data. This workflow integrates 18 different services: notionTrigger, stickyNote, textSplitterTokenSplitter, vectorStoreSupabase, chainRetrievalQa.
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AI-powered document assistant that retrieves and answers questions about company documents stored in Google Drive using RAG (Retrieval Augmented Generation) and Google's Gemini model
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Automated workflow: RAG Workflow For Stock Earnings Report Analysis. This workflow integrates 15 different services: stickyNote, vectorStorePinecone, embeddingsGoogleGemini, textSp
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Automated workflow that processes documents from Google Drive using context-aware chunking and stores enriched content in Pinecone vector database using Gemini AI for enhanced search and retrieval