I’m excited to share a new demo video where I walk through how I built a complete Retrieval-Augmented Generation (RAG) workflow using n8n, OpenAI, and Pinecone — all without writing a backend or managing servers. This workflow turns unstructured documents into intelligent, answer-ready knowledge using automation and AI. 🔍 What the Demo Covers 📂 Pulling documents directly from Google Drive ✂️ Splitting text using a Recursive Character Text Splitter 📄 Loading & preparing data with a Data Loader 🧠 Generating embeddings with OpenAI 📦 Storing & indexing vectors in Pinecone 🤖 Using an AI Agent connected to the vector store 💬 Answering questions with accurate, RAG-powered context 🧾 Adding memory for more natural, human-like conversations 🎯 Why This Workflow Is Powerful This setup enables you to build: 🤖 AI chatbots with custom knowledge ❓ Automated Q&A assistants 🏢 Internal knowledge search tools 📚 Document-driven AI applications All created inside n8n — visually, modularly, and with full flexibility. 📽️ Watch the Demo I’ve recorded a full walkthrough to show how everything fits together from start to finish. 👉 Video attached If you're exploring RAG, vector databases, or AI automation, feel free to connect — always happy to share ideas and learn from the community! #n8n #AI #RAG #OpenAI #Pinecone #Automation #NoCode #LowCode #VectorDatabase #LLM #ArtificialIntelligence #WorkflowAutomation

In today’s data-driven world, achieving precise and contextually relevant search results is crucial. The RAG Hybrid Search, combining Keyword Search with Vector Search, offers a powerful solution to enhance search capabilities. 🔍 What is Hybrid Search? Hybrid Search blends the best of both worlds: 💡Keyword Search: Retrieves results based on exact term matches, ensuring precision. 💡Vector Search: Leverages deep learning models to capture semantic meaning, improving the understanding of user intent. 🎯 The Impact of Hybrid Search: By merging these two methods, Hybrid Search delivers smarter, context-aware results that improve user experiences and elevate search accuracy. This is especially valuable in handling unstructured data, making it ideal for applications such as recommendation engines, AI-driven search systems, and information retrieval. 💡 The Future of Search: With Hybrid Search, organizations can significantly enhance their data search capabilities, ensuring more relevant and intuitive results. As the landscape of AI and machine learning continues to evolve, leveraging these techniques is essential for staying ahead in the competitive market. hashtag#RAGHybridSearch hashtag#VectorSearch hashtag#KeywordSearch hashtag#AdvanceRag hashtag#AI hashtag#DataScience hashtag#SearchTechnology hashtag#Innovation hashtag#AIinSearch hashtag#InformationRetrieval

I'm excited to share a recent workflow I built that automates the process of collecting and managing contact information! Here's how it works: Form Submission 📝: Users fill out a "Contact Us" form with essential information—Name, Email, and Phone Number. Data Integration 🔗: After submission, the data is automatically added to a Google Sheet—updating or appending a new row with the user's details, submission time, and form mode. Instant Confirmation ✅: As soon as the data is stored, a Gmail email is sent to the user confirming their submission. Key Features of the Workflow: 1.Trigger: Form submission initiates the process 2.Data Handling: Google Sheets seamlessly stores and updates submissions 3.Communication: Instant email confirmation sent to users Benefits: 1.Streamlines contact management 2.Reduces manual data entry 3.Provides a professional and quick user experience

To streamline our feedback management process, we’ve introduced an AI-powered framework designed to reduce manual workloads and improve response times, driving overall operational efficiency. 💼✨ Objective: Our goal is to simplify the feedback process by automatically analyzing, categorizing, and directing feedback to the appropriate department for swift resolution. 🎯 How It Works: 1. Feedback Submission: Customers submit their feedback via a form. 📝 2. AI Analysis: The AI agent analyzes the feedback, classifying it as a complaint, compliment, or feature request. 🤖 3. Routing & Notifications: 🔄Complaints are forwarded directly to the relevant department for resolution. 🚨 🔄 Feature requests are sent to the appropriate team for review. 💡 🔄 Compliments are routed to management. 🌟 4. Customer Communication: If the feedback is negative or includes a complaint, the customer is automatically notified via email. 📧 5. Team Collaboration: The relevant team is instantly notified, ensuring a timely response and resolution. 🔄 Expected Impact This AI-driven approach will enable faster feedback processing, improved customer experience, and more efficient team collaboration. By automating these processes, we empower our teams to focus on what truly matters—driving innovation and customer satisfaction. 🚀 #AI #Automation #CustomerFeedback #BusinessEfficiency #TechInnovation #WorkflowAutomation #CustomerExperience

I’ve been working on an exciting project where I leveraged n8n to automate form submissions, trigger data updates, and enrich records dynamically. This powerful automation workflow seamlessly integrates multiple nodes, transforming how data flows through Airtable. 📌 Here’s a Breakdown of the Workflow: Trigger Node: Form Submission 📝 The process starts with a form submission, capturing user data like Name, Looks, and Profession (such as Video Editor, Graphic Designer, AI Manager). The form data is gathered from a user-friendly form URL. Create Record in Airtable 📊 The submitted form data is automatically mapped and sent to Airtable to create a record in a specified base and table. Routing with Switch Node 🔀 Depending on the Profession selected in the form, the workflow routes the data into different branches for further processing: Video Editor Graphic Designer AI Manager Poetry Generation with Google Gemini Chat model 🤖✍️ For a touch of creativity, I’ve added an AI-based poetry generation node that crafts simple, beautiful poems based on the submitted form data! 🌟 Updating Airtable Record 🔄 Once the poem is generated, the Airtable record is updated with the poem, ensuring a smooth flow of information.