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I recently built an AI-powered Appointment Widget using n8n and AWS. The goal was to assist sales teams by showing their real-time availability and securing meetings instantly. Here’s a high-level overview of the tech stack and architecture:

n8n (Node.js) was used to handle the widget’s backend logic, integrating with AWS services for data storage and calendar syncing. The widget itself was built using React, with a focus on seamless user experience.

The real-time availability feature was achieved by using Vector DBs to store team availability data. Webhooks were used to trigger notifications and updates when a meeting is booked or cancelled.

Want to learn more about building a frictionless sales experience with n8n and AWS? Reach out to discuss further.

I recently had the opportunity to build an AI Support Chat Widget using n8n, Vector DBs, and Webhooks.

The widget’s primary function is to instantly answer FAQs from a knowledge base, allowing support teams to focus on high-priority issues.

To achieve this, I leveraged the power of n8n’s workflow automation, combined with the speed and scalability of Vector DBs, and the reliability of Webhooks for real-time updates.

The result is a seamless and efficient support experience for both support teams and customers.

Want to explore the tech stack behind our AI Support Chat Widget? Check out our technical documentation for a deeper dive.

I recently had the opportunity to work on an exciting project at ShahiRaj, building a scalable e-commerce tracking automation system using n8n and Vector DBs. The goal was to create a 24/7 proactive assistant for logistics teams, enabling them to focus on actual delivery issues rather than routine tracking calls.

To achieve this, I designed a system that integrates with Shipmozo/BigShip, sending automated updates to customers via WhatsApp as soon as their package status changes. This not only reduced the workload for the logistics team but also provided customers with instant updates, improving their overall experience.

The system is built on top of n8n, utilizing Webhooks to send and receive data. I leveraged Vector DBs for efficient data storage and retrieval, ensuring seamless communication between different components of the system.

Through this project, I gained hands-on experience with n8n, Vector DBs, and Webhooks. I’m excited to share my learnings and insights with the developer community, highlighting the potential of these technologies in building scalable and efficient automation systems.

Want to learn more about our e-commerce solutions and how we can help you automate your tracking process? Get in touch with us today!

Read more about our e-commerce solutions here. #ShahiRaj #EcommerceSolutions #Automation

We built our AI Lead Gen Widget using n8n as the backbone, enabling us to process and qualify leads efficiently. Check out our developer-focused technical guide to learn how we integrated Vector DBs and Webhooks to create a powerful lead qualification system.

As a developer, I’ve always been fascinated by the potential of AI to transform the healthcare industry. In this post, I’ll share my experience building a scalable AI Doctor Appointment Agent using n8n, Vector DBs, and Webhooks.

The AI agent acts as a WhatsApp bot, handling repetitive queries and freeing up staff to focus on patient care. Patients can book appointments 24/7, and the agent syncs instantly with the clinic’s calendar on our AWS Mumbai server.

The tech stack includes n8n for workflow automation, Vector DBs for scalable data storage, and Webhooks for real-time updates. By leveraging these technologies, we’ve created a highly efficient and effective AI Doctor Appointment Agent. Check out our GitHub repository to learn more about the code.

As a developer, I’ve worked on various projects where our team needed to access vast amounts of data quickly. That’s when I realized the potential of Custom RAG AI Agents. Shahi Raj built an AI assistant using PostgreSQL and AWS, which revolutionized our workflow. I’ll share my experience in building this Custom RAG AI Agent.

Here’s a high-level overview of the architecture:

• PostgreSQL as the primary database for storing our company’s knowledge base.
• AWS for hosting the AI agent and ensuring scalability.
• n8n for workflow automation and integration.

The AI agent uses Vector DBs to enable fast vector similarity searches, making it possible to find the exact detail our team needed in seconds. With this setup, we reduced our team’s search time significantly, allowing them to focus on high-quality work. If you’re interested in building a Custom RAG AI Agent for your company, contact me or Shahi Raj to discuss further.

I built the ShahiRaj Data Collector to empower field teams with real-time reporting capabilities. The system processes data via n8n on AWS Mumbai, appearing on the dashboard instantly.

The Android APK is designed to assist the field staff in the moment, eliminating the need for evening ‘catch-up’ paperwork. Field assistance is key: it empowers your field staff to log photos, locations, and data points instantly.

Want to learn more about building a real-time field reporting system? Check out ShahiRaj Data Collector’s documentation and DM me with questions.

Follow me for more tech stories and stay connected with ShahiRaj.

As a developer, I wanted to create a seamless experience for my team to access our database without leaving their favorite chat app. I built a custom Telegram bot using n8n, Vector DBs, and Webhooks to bridge the gap.

The integration allows my team to query inventory, check a client’s history, or trigger an n8n workflow with a simple text command. The bot uses the Vector DBs to store and retrieve data, making it a powerful tool for our team.

Explore the tech stack behind our custom bot solutions and learn how you can build a similar bot for your team.

I built the Digital Front Desk to help sales teams like yours stay ahead of the game.

The journey started with n8n, a powerful workflow automation tool that helped me integrate WhatsApp and Telegram with Google Calendar.

Using Vector DBs for real-time availability checks and Webhooks for seamless updates, our AI Meeting Scheduler was born.

The result? A solution that not only helps your team stay focused but also ensures you never miss a lead. Check it out and let me know what you think!

#ShahiRaj #DigitalFrontDesk #AIScheduler #n8n #VectorDBs #Webhooks

When the post-holiday rush hits, our internal operations get stressed.

I built a Custom n8n Workflow to assist our operations during these surges. The automation handles the heavy lifting on AWS, syncing 800+ shipping updates and routing new inquiries to the right team member.

By automating the ‘data moving’ tasks, we empower our staff to focus on high-priority projects that actually move the needle.

The code logic behind this Custom n8n Workflow is a testament to the power of automation.