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Artificial Intelligence tools and workflows

Automate Software Documentation Queries with Context7 and Google Gemini
This n8n workflow leverages Context7 and Google Gemini to automate the retrieval of software library documentation. It simplifies client-side integration by exposing a single, callable AI agent tool via an SSE endpoint.
n8nFree
Automate Video Creation Using Text Descriptions with Wan 2.2 T2V Fast and Replicate
This workflow automates video generation using the Wan 2.2 T2V Fast AI model via the Replicate API, streamlining the process of creating videos from text descriptions within n8n.
n8nFree
Automate Stock Earnings Report Analysis with AI and Google Tools
This n8n workflow automates the analysis of company quarterly earnings reports using AI tools like OpenAI and Google's Gemini AI, alongside Pinecone's vector search. It processes PDFs from Google Drive, analyzes them, and compiles findings into a structured Google Doc.

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AI-Powered Email to Jira Ticket Creation with Llama 3.2

This AI-powered workflow reads emails, understands the request using an LLM, and creates structured Jira issues. ### Key Insights - Poll for new emails every 5 minutes; ensure Gmail/IMAP is properly configured. - AI analysis requires a reliable LLM model (e.g., Chat Model or AI tool). ### Workflow Process - Trigger the workflow with the `Check for New Emails Gmail Trigger` node. - Fetch full email content using the `Fetch Full Email Content get message` node. - Analyze email content with the `Analyze Email & Extract Tasks` node using AI. - Parse the AI-generated JSON output into tasks with the `Parse JSON Output from AI` node. - Create the main Jira issue with the `Jira - Create Main Issue create: issue` node. - Split subtasks from JSON and create them with the `Split Subtasks JSON Items` and `Create Subtasks create: issue` nodes. ### Usage Guide - Import the workflow into n8n and configure Gmail and Jira credentials. - Test with a sample email to ensure ticket creation and subtask assignment. ### Prerequisites - Gmail/IMAP credentials for email polling - Jira API credentials with issue creation permissions ### Customization Options Adjust the `Analyze Email & Extract Tasks` node to refine AI task extraction or modify the polling frequency in the trigger node.

Automate Content Idea Generation and Storage with Google Gemini and Sheets

This n8n workflow automates the creation of content ideas using Google Gemini and stores them in Google Sheets. It expands each idea into detailed content, streamlining the content creation process.

Zoom AI Meeting Assistant Creates Email Summary, ClickUp Tasks, and Follow-Up Calls

## Update 19-04-2025 ## - Change from OpenAI to Claude 3.7 Sonnet module - Adding the think tool **The update enables significantly better results to be achieved. This is particularly noticeable during longer meetings!** ## What this workflow does This workflow retrieves the Zoom meeting data from the last 24 hours. The transcript of the last meeting is then retrieved, processed, a summary is created using AI, and sent to all participants by email. AI is then used to create tasks and follow-up appointments based on the content of the meeting. Important: You need a Zoom Workspace Pro account and must have activated Cloud Recording/Transcripts! This workflow has the following sequence: 1. Manual trigger (Can be replaced by a scheduled trigger or a webhook) 2. Retrieval of Zoom meeting data 3. Filter the events of the last 24 hours 4. Retrieval of transcripts and extract of the text 5. Creating a meeting summary, format to HTML, and send per mail 6. Create tasks and follow-up call (if discussed in the meeting) in ClickUp/Outlook (can be replaced by Gmail, Airtable, and so forth) via sub workflow ### Requirements: - Zoom Workspace (via API and HTTP Request): [Documentation](https://docs.n8n.io/integrations/builtin/credentials/zoom/) - Microsoft Outlook: [Documentation](https://docs.n8n.io/integrations/builtin/credentials/microsoft/) - ClickUp: [Documentation](https://docs.n8n.io/integrations/builtin/credentials/clickup/) - AI API access (e.g., via OpenAI, Anthropic, Google, or Ollama) - SMTP access data (for sending the mail) You must set up the individual sub-workflows as separate workflows. Then set the “Execute workflow trigger” here. Then select the corresponding sub-workflow in the AI Agent Tools. You can select the number of domains yourself. If the data queries are not required, simply delete the corresponding tool (e.g., “Analytics_Domain_5”). Feel free to [contact me via LinkedIn](https://www.linkedin.com/in/friedemann-schuetz), if you have any questions!

Automate Restaurant Orders and Menu Management via WhatsApp and AI

Streamline your restaurant's order and menu management by leveraging WhatsApp and AI. This workflow automates customer interactions, order processing, and delivery coordination, enhancing efficiency and customer satisfaction.

Building a RAG Chatbot for Movie Recommendations with Qdrant and OpenAI

Create a recommendation tool without hallucinations based on RAG with the Qdrant Vector database. This example is based on movie recommendations on the IMDB-top1000 dataset. You can provide your wishes and your big nos to the chatbot, for example: A movie about wizards but not Harry Potter, and get top-3 recommendations. ## How it works - [A video with the full design process](https://www.youtube.com/watch?v=O5m8M7rqQQ) - Upload IMDB-1000 dataset to Qdrant Vector Store, embedding movie descriptions with OpenAI; - Set up an AI agent with a chat. This agent will call a workflow tool to get movie recommendations based on a request written in the chat; - Create a workflow which calls [Qdrant's Recommendation API](https://qdrant.tech/articles/new-recommendation-api/) to retrieve top-3 recommendations of movies based on your positive and negative examples. ## Set Up Steps - You'll need to create a free tier [Qdrant Cluster](https://cloud.qdrant.io/) (Qdrant can also be used locally; it's open-sourced) and set up API credentials. - You'll need OpenAI credentials. - You'll need GitHub credentials & to upload the [IMDB Kaggle dataset](https://www.kaggle.com/datasets/omarhanyy/imdb-top-1000) to your GitHub.

Build a Retrieval-Based Chatbot with Telegram, OpenAI, and Google Drive PDF Backup

# Telegram RAG Chatbot with PDF Document & Google Drive Backup - An upgraded Retrieval-Augmented Generation (RAG) chatbot built in **n8n** that lets users ask questions via Telegram and receive accurate answers from uploaded PDFs. It embeds documents using OpenAI and backs them up to Google Drive. ## ☀ Who's it for Perfect for: - Knowledge workers who want instant access to private documents - Support teams needing searchable SOPs and guides - Educators enabling course material Q&A for students - Individuals automating personal document search + cloud backup ## ℹ How it works / What it does ### Telegram Chat Handling 1. **User sends a message** Triggered by the Telegram bot, the workflow checks if the message is text. 2. **Text message ➡ OpenAI RAG Agent** If the message is text, it's passed to a GPT-powered document agent. This agent: - Retrieves relevant info from embedded documents using semantic search - Returns a context-aware answer to the user 3. **Send answer back** The bot sends the generated response back to the Telegram user. 4. **Non-text input fallback** If the message is not text, the bot replies with a polite unsupported message. ### ➡ PDF Upload and Embedding 1. **User uploads PDFs manually** A manual trigger starts the embedding flow. 2. **Default Data Loader** Reads and chunks the PDF(s) into text segments. 3. **Insert to Vector Store (Embedding)** Text chunks are embedded using OpenAI and saved for retrieval. 4. **Backup to Google Drive** The original PDF is uploaded to Google Drive for safekeeping. ## 🛠 How to set up 1. **Telegram Bot** - Create via [BotFather](https://t.me/botfather) - Connect it to the Telegram Trigger node 2. **OpenAI** - Use your OpenAI API key - Connect the Embeddings and Chat Model nodes (GPT-3.5/4) - Ensure both embedding and querying use the same Embedding node 3. **Google Drive** - Set up credentials in n8n for your Google account - Connect the "Backup to Google Drive" node 4. **PDF Ingestion** - Use the "Upload your PDF here" trigger - Connect it to the loader, embedder, and backup flow ## 📜 Requirements - Telegram bot token - OpenAI API key (GPT + Embeddings) - n8n instance (self-hosted or cloud) - Google Drive integration - PDF files to upload ## © How to customize the workflow | Feature | How to Customize | |-------------------------|------------------------------------------------------------| | Auto-ingest from folders| Add Google Drive/Dropbox watchers for new PDFs | | Add file upload via Telegram| Extend Telegram bot to receive PDFs and run the embedding flow| | Track user questions | Log Telegram usernames and questions to a database | | Summarize documents | Add summarization step on upload | | Add Markdown or HTML support| Format replies for better Telegram rendering | Built with Telegram + PDF + OpenAI Embeddings + Google Drive + n8n

Automate Reddit Digest Summaries and Publish to DEV Community

This workflow automates the creation of daily Reddit digests, summarizing posts in a Morning Brew style and publishing them to DEV Community. It leverages AI for content summarization and formatting.

Interact with Trello Boards Using Natural Language via OpenAI

Transform your Trello board into a conversational assistant using OpenAI. This workflow enables you to query your Trello board with natural language questions, providing concise answers and summaries for efficient project management.

Automate AI Content Creation and Publishing with Google Sheets and Telegram

This n8n workflow automates the creation and publishing of AI-generated content. It crafts unique articles in Thai, generates AI images, and publishes them to your website, notifying you via Telegram.

Automate Context Extraction from Voice Notes Using AI and Milvus

This workflow automates the extraction and storage of contextual information from voice notes using AI agents and vector databases, facilitating future retrieval in RAG systems.

Build an AI-Powered Knowledge Base Chatbot with Google Drive and OpenAI

This n8n workflow creates an AI chatbot that transforms Google Drive documents into a searchable knowledge base using OpenAI's models. It provides accurate, context-aware responses based on your documents, ideal for customer support and internal documentation.

Automate LinkedIn Content Creation with GPT-4 and DALL-E

Effortlessly generate LinkedIn content using OpenAI's GPT-4 and DALL-E with this n8n workflow. Customize topics, create posts, and generate images to enhance your LinkedIn presence.

Automate Document-Based AI Queries with Google Drive and Supabase

Transform your Google Drive documents into a searchable knowledge base with AI-powered responses using Supabase and OpenAI. This workflow automates the ingestion, processing, and querying of documents for instant, context-aware answers.

Automate Job Search and Organization with AI and Google Sheets

Streamline your job search by using AI to analyze your resume, find relevant job listings, and organize them in Google Sheets for easy access and management.

Automate Web Browsing and Data Extraction with Airtop and AI

Leverage Airtop for automated web interactions triggered by AI agents using n8n's MCP Server Trigger. Ideal for browser automation, intelligent data extraction, and agent-driven workflows.

Automate YouTube Video Discovery and Summarization via Email

Automatically search for YouTube videos using specific keywords, summarize their content with ChatGPT, and deliver the summaries via email. This workflow enhances efficiency by providing quick access to summarized video content.

Create a Multi-Functional Discord Bot with AI and Image Generation

This workflow sets up a Discord bot capable of monitoring messages, processing media, and generating AI-driven responses and images. It integrates Llama AI for text analysis, Groq for image and audio processing, and Gemini AI for image creation.

Automate Daily AI News Summaries with GPT-4 and Telegram

This workflow fetches the latest AI news articles every morning, summarizes them using GPT-4, translates them into Traditional Chinese, and delivers the digest to your Telegram account.

AI Agent Web Search Using SearchAPI & LLM

## AI Agent Web Search using SearchApi & LLM ### Who is this for? This workflow is ideal for anyone conducting **online research**, including **students**, **researchers**, **content creators**, and professionals looking for accurate, up-to-date, and verifiable information. It also serves as an excellent foundation for building more sophisticated AI-driven applications. ### What problem does this workflow solve? / Use case This workflow automates web searches by enabling an AI agent to efficiently retrieve and summarize external, verifiable information, ensuring accuracy through source citations. ### What this workflow does - Connects an AI agent node to [SearchApi.io](https://www.searchapi.io/) as an integrated search tool. - Empowers the AI agent to perform real-time web searches using various SearchApi engines (e.g., Google, Bing). - Allows the AI agent to dynamically determine search parameters based on user interaction, delivering contextually relevant results. - Ensures responses include clearly cited sources for validation and further exploration. ### Setup 1. **Install the [SearchApi community node](https://www.npmjs.com/package/@searchapi/n8n-nodes-searchapi)**: - Open **Settings > Community Nodes** inside your self-hosted n8n instance. - Fill **npm Package Name** with `@searchapi/n8n-nodes-searchapi`. - Accept the risk prompt, and hit **Install**. - It should now appear as a node when you search for it. 2. **API Configuration**: - Set up your [SearchApi.io](https://www.searchapi.io/) credentials in n8n. - Add your preferred LLM provider credentials (e.g., OpenRouter API). 3. **Input Requirements**: - Provide the YouTube video ID (e.g., `wBuULAoJxok`). 4. **Connect LLM Integration**: - Configure the summarization chain with your chosen model and parameters for text splitting. ### How to customize this workflow to your needs - Integrate additional nodes to structure or store search results (e.g., saving to databases, Notion, Google Sheets). - Extend chatbot capabilities to integrate with messaging platforms (Slack, Discord) or email notifications. - Adjust search parameters and filters within the AI agent node to tailor information retrieval. ### Example Usage - **Input**: User asks, "What are the latest developments in AI regulation?" - **Output**: AI retrieves, summarizes, and cites recent, authoritative articles and news sources from the web.

Automate Slack Team Support with AI Chatbot and RAG Integration

Deploy an AI chatbot on Slack to streamline team support by automating information retrieval using Retrieval-Augmented Generation (RAG) and integrating with Google Drive and Qdrant.

Automate Newsletter Drafts from YouTube Transcripts with Dumpling AI and GPT-4o

Transform YouTube video links into polished newsletter drafts using Dumpling AI and GPT-4o. This workflow reads video URLs from Google Sheets, extracts transcripts, summarizes them into newsletter content, and logs the drafts back into the sheet while notifying you via email.

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Communication (2,463)Business Operations & ERPs (1,540)Other (1,425)Productivity (1,202)Marketing (1,145)Data & Analytics (995)File & Document Management (802)CRM - Sales (604)Notifications (580)Social Media (562)

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