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Artificial Intelligence tools and workflows

Deploy a Customizable AI Chatbot with DeepSeek Integration on Your Website
Implement a branded AI chatbot on your website using DeepSeek for intelligent conversation management. This workflow provides a fully customizable chat widget that integrates seamlessly with your brand, enhancing user interaction and support.
n8nFree
Automate AI-Driven Sales Pitches from Website URLs Using Google Sheets and OpenAI
This n8n workflow transforms website URLs listed in Google Sheets into personalized AI-generated sales pitches using OpenAI. It automates the process of scraping website content, generating context-rich pitches, and updating the Google Sheets with the results, streamlining prospect research and messaging.
n8nFree
Automate YouTube Video Analysis and Content Ideation with Apify, OpenAI, and Google Sheets
This workflow automates the process of scraping trending YouTube videos, analyzing them with AI for optimized titles and outlines, and updating a Google Sheet for content planning.

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Convert Reddit Questions into SEO-Optimized Blog Posts with AI and Google Sheets

This workflow automates the transformation of Reddit questions into structured SEO blog posts using OpenAI and Google Sheets. It scrapes questions from a subreddit, enhances them with AI, and logs them into Google Sheets for easy publishing.

Deploy a Local AI Chat Assistant with Ollama and n8n

Transform your local n8n instance into a private AI chat assistant using Ollama models, ensuring data privacy with no cloud dependencies.

Automate AI-Powered Document Queries with Supabase and n8n

Streamline the process of querying large document repositories stored in Supabase using an AI-powered chatbot. This workflow automates file processing and enables efficient information retrieval.

Integrate DeepSeek AI Models with n8n for Advanced Chat and Reasoning

Leverage DeepSeek's AI models within n8n to create sophisticated chatbots and reasoning systems. This workflow supports local deployment with Ollama and direct API integration for seamless automation.

Automate Bulk AI Image Creation with Freepik, Google Sheets, and Google Drive

This n8n workflow automates the generation of AI images in bulk using Freepik's text-to-image API. It reads prompts from a Google Sheet, creates multiple image variations, and uploads them to Google Drive with organized file names.

Automate Twitter Post Creation with AI and Web Research

This workflow automates the creation of Twitter posts by transforming topic ideas into engaging drafts with text and images, using AI and real-time web data.

Automate LinkedIn Contact Discovery and Personalized Email Drafting

Streamline your LinkedIn outreach by automating contact discovery and personalized email drafting using n8n, OpenAI, Hunter.io, and Gmail.

Create Personalized Cold Email Openers from LinkedIn Posts Using GPT-4

Transform LinkedIn posts into personalized cold email openers that sound human-crafted in seconds. Ideal for sales, partnerships, and outreach professionals.

Automated Telegram Sales Agent with Google Sheets Integration

Deploy an intelligent Telegram chatbot for food delivery businesses, streamlining order processing, payment verification, and order tracking with Google Sheets integration.

Cybersecurity Intelligence: Create Daily Digest & Viral Topics with Gemini AI

## This n8n workflow template simplifies the process of digesting cybersecurity reports by summarizing, deduplicating, organizing, and identifying viral topics of interest into daily emails. It will generate two types of emails: - A daily digest with summaries of deduplicated cybersecurity reports organized into various topics. - A daily viral topic report with summaries of recurring topics that have been identified over the last seven days. **This workflow supports threat intelligence analysts digest the high number of cybersecurity reports they must analyze daily by decreasing the noise and tracking topics of importance with additional care, while providing customizability with regards to sources and output format.** ## How it works The workflow follows the threat intelligence lifecycle as labeled by the colored notes. - Every morning, collect news articles from a set of RSS feeds. - Merge the feeds output and prepare them for LLM consumption. - Ask an LLM with writing an intelligence briefing that summarizes, deduplicates, and organizes the topics. - Generate and send an email with the daily digest. - Collect the daily digests of the last seven days and prepare them for LLM consumption. - Ask an LLM with writing a report that covers viral topics that have appeared prominently in the news. - Store this report and send out over email. ## How to use & customization - The workflow will trigger daily at 7 am. - The workflow can be reused for other types of news as well. The RSS feeds can be swapped out and the AI prompts can easily be altered. - The parameters used for the viral topic identification process can easily be changed (number of previous days considered, requirements for a topic to be viral). ## Requirements - The workflow leverages Gemini (free tier) for email content generation and Baserow for storing generated reports. The viral topic identification relies on the Gemini Pro model because of a higher data quantity and more complex task. - An SMTP email account must be provided to send the emails with. This can be through Gmail.

Automate Website Crawling and Query Responses Using Google Sheets and OpenAI

This workflow enables SEO analysts, content creators, and developers to automate website indexing and interact with its content using Google Sheets and OpenAI. It efficiently crawls websites, extracts key data, and allows for dynamic querying as if interacting with a chatbot.

Create an AI-Powered Chatbot with GPT-4o and Brave Search Integration

Develop a sophisticated chatbot using GPT-4o and MCP Brave Search to enhance user interactions and streamline data retrieval.

Automate Comprehensive Research and Notion Report Creation

This workflow automates the process of conducting detailed research on a given topic and compiling the findings into a structured report stored in Notion. It leverages AI for search query generation, content extraction, and report summarization, ensuring a seamless transition from research initiation to report delivery.

Automate RAG System Updates with Google Drive and Qdrant

This workflow automates the creation and management of a Retrieval-Augmented Generation (RAG) system using Qdrant as a vector store and Google Drive as the document source. It allows for both full and incremental updates to documents in the Qdrant vector database and integrates with a chatbot using Google Gemini for question answering.

Enhance AI Chatbot with Long-Term Memory and Dynamic Tool Routing

This n8n workflow empowers your AI chatbot with long-term memory and dynamic tool routing, enabling intelligent, context-aware responses and efficient task management across multiple platforms.

Automate Telegram Message Processing with AI for Text, Audio, and Images

This n8n workflow automates the processing of Telegram messages, including text, audio, and images, using AI for intelligent responses. It serves as a personal assistant by leveraging OpenAI's capabilities for message classification and processing.

Automate SEO Content Creation and Publishing on WordPress

This workflow automates the generation of SEO-friendly content using DeepSeek, publishes it on WordPress, and updates a Google Sheets document with post details.

Automate AI News Delivery to Telegram with Perplexity and OpenAI

This workflow automates the collection, filtering, formatting, and distribution of daily AI news summaries to a Telegram channel using Perplexity and OpenAI. It ensures only the most relevant updates are shared, avoiding duplicates with a Google Sheets archive.

Automate Faceless Video Creation with AI Tools

This n8n workflow automates the creation of faceless videos using AI for script writing, voiceover generation, image creation, and video editing. Ideal for content creators and marketers looking to produce engaging videos without appearing on camera.

YouTube Transcription & Translation to Google Docs with Gemini AI

## YouTube Transcription, Summarization & Translation to Google Docs This workflow automates the end-to-end process of converting YouTube videos into structured, multilingual written content. It transcribes the video's speech, optionally summarizes it, translates it into the chosen language, and stores the result in a well-formatted Google Doc—ready for review, sharing, or publication. ## Who's It For * Content creators and bloggers repurposing video content. * Educators and researchers converting lectures into readable notes. * Marketing teams localizing video material for international audiences. * Students summarizing and translating study material. * YouTube viewers who want written notes or blog-ready formats. ## How It Works 1. A **Webhook** triggers the flow with inputs: `youtube_url`, `language`, and `enable_summary`. 2. A **Code** node formats these inputs into `videoId`, `originalUrl`, `language`, and `enable_summary`. 3. An **HTTP Request** node sends the video to Supadata API for full transcription. 4. Another **Code** node combines all transcript segments into one body of text. 5. The **Basic LLM Chain** node uses the **Google Gemini Chat Model** to summarize and translate the transcript if requested. 6. A **Google Docs** node creates a new document with a title based on `videoId` and `language`. 7. A final **Google Docs** node appends the processed summary and translation into the created document. ## How to Set Up 1. **Webhook Input:** Send a POST request with three fields: `youtube_url`, `language`, `enable_summary`. 2. **Configure Supadata API:** Add the HTTP URL and Authorization Header for transcription. 3. **Set up Gemini Chat Model:** Use Google Vertex AI/Gemini integration in the Basic LLM Chain node. 4. **Create Google Docs Credentials:** Connect your Google account using OAuth2. 5. **Document Naming Logic:** You may adjust document titles using expressions (e.g., `{{ videoId }} - {{ language }}`). ## Requirements * Supadata API key (or any video-to-text API). * Google account with Google Docs access. * Google Gemini access via n8n's LLM integration. * n8n Cloud or self-hosted instance. * Basic understanding of webhook setup (or a form frontend). ## How to Customize * **Change LLM model:** Swap Gemini with GPT-4 or Claude in the LLM Chain node. * **Summarization toggle:** Use the `enable_summary` flag to control verbosity. * **Document layout:** Customize headings, font styles, and content sections in Google Docs. * **Multiple languages:** Extend the workflow to translate into multiple languages and generate one document per language. * **Sharing options:** Add Gmail or Slack nodes to notify users once the document is generated. ## Add-ons * **Notion Export:** Send the document summary directly into Notion using the Notion node. * **Slack Notification:** Notify your team with a link to the Google Doc using the Slack node. * **Google Sheets Logging:** Log video URLs, timestamps, and language used for auditing. * **n8n Forms Integration:** Allow users to submit video URLs and language via a hosted n8n form. ## **Use Case Examples** * **Repurposing Videos into Blogs:** Automatically convert YouTube podcasts into multilingual blog posts. * **Educational Notes:** Extract and translate lecture content into shareable study documents. * **International Marketing Teams:** Summarize and localize product explainer videos for different countries. * **Transcription Library:** Create a searchable database of translated transcripts from niche educational YouTube channels. ## Common Troubleshooting | **Issue** | **Possible Cause** | **Solution** | |--------------------------|-------------------------------------|---------------------------------------------------------------| | Webhook not triggering | Incorrect webhook URL or POST format | Double-check payload and content-type (application/json) | | Transcription API fails | Invalid video ID or API key | Validate YouTube URL and Supadata API access | | Empty translation/summarization | Transcript was empty or prompt was weak | Ensure the video contains spoken content and refine prompt | | Google Doc not created | OAuth2 credentials not authorized properly | Reconnect Google Docs credentials in n8n | | Gemini LLM Chain fails | Model misconfigured or request malformed | Verify your model selection and payload structure | ## Need Help? Need help getting this set up or customizing it for your workflow? We can help you: * Set up transcription and translation APIs * Modify the summarization prompt * Customize document layouts or automate sharing [Contact WeblineIndia's automation experts!](https://www.weblineindia.com/hire-n8n-developers/)

RAG Chatbot with Supabase + TogetherAI + OpenRouter

## RUN the FIRST WORKFLOW ONLY ONCE (as it will convert your content into Embedding format and save it in DB and is ready for the RAG Chat) ## Telegram Trigger * **Type:** `telegramTrigger` * **Purpose:** Waits for new Telegram messages to trigger the workflow. * **Note:** Currently disabled. --- ## Content for the Training * **Type:** `googleDocs` * **Purpose:** Fetches document content from Google Docs using its URL. * **Details:** Uses Service Account authentication. --- ## Splitting into Chunks * **Type:** `code` * **Purpose:** Splits the fetched document text into smaller chunks (1000 chars each) for processing. * **Logic:** Loops over text and slices it. --- ## Embedding Uploaded Document * **Type:** `httpRequest` * **Purpose:** Calls Together AI embedding API to get vector embeddings for each text chunk. * **Details:** Sends JSON with model name and chunk as input. --- ## Save the embedding in DB * **Type:** `supabase` * **Purpose:** Saves each text chunk and its embedding vector into the Supabase `embed` table. ## SECOND WORKFLOW EXPLANATION: ## When chat message received * **Type:** `chatTrigger` * **Purpose:** Starts the workflow when a user sends a chat message. * **Details:** Sends an initial greeting message to the user. --- ## Embed User Message * **Type:** `httpRequest` * **Purpose:** Generates embedding for the user's input message. * **Details:** Calls Together AI embeddings API. --- ## Search Embeddings * **Type:** `httpRequest` * **Purpose:** Searches Supabase DB for the top 5 most similar text chunks based on the generated embedding. * **Details:** Calls Supabase RPC function `matchembeddings1`. --- ## Aggregate * **Type:** `aggregate` * **Purpose:** Combines all retrieved text chunks into a single aggregated context for the LLM. --- ## Basic LLM Chain * **Type:** `chainLlm` * **Purpose:** Passes the user's question + aggregated context to the LLM to generate a detailed answer. * **Details:** Contains prompt instructing the LLM to answer only based on context. --- ## OpenRouter Chat Model * **Type:** `lmChatOpenRouter` * **Purpose:** Provides the actual AI language model that processes the prompt. * **Details:** Uses `qwen/qwen3-8b:free` model via OpenRouter and you can use any of your choice.

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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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