Hey everyone! 👋

We thought this might be helpful to the community.

**VAKGPT**, an open-source chat wrapper designed to help developers and founders quickly build and test AI-powered chat applications.

## 🌐 Live Demo

Check out the hosted version at [vakgpt.com](https://vakgpt.com).

## 💎 GitHub:

Check out GitHub repo at [github.com/kk9393/VAKGPT](https://github.com/kk9393/VAKGPT).

## 📌 LinkedIn:

LinkedIn page : https://linkedin.com/company/vakgpt

---

# 🚀 What is VAKGPT?

VAKGPT is a modular, scalable chat wrapper that allows you to plug in your preferred language models and get started instantly. It's designed to simplify the creation of proof-of-concepts and deployment of conversational interfaces with minimal friction.

## 🔧 Key Features

* **Model Flexibility**: Supports various models, including:
* deepseek-chat
* meta-llama/Llama-3.3-70B-Instruct
* meta-llama/Llama-3.2-90B-Vision-Instruct
* meta-llama/Meta-Llama-3.1-405B-Instruct
* **Modular Architecture**: Frontend and backend run as separate services—use them independently or together.
* **Scalable Design**: Built to support growing user bases and high-volume interactions.
* **Open Source**: Freely available under the MIT license for the community to use, extend, and contribute to.

## 🧱 Tech Stack

* **Frontend**: Next.js for fast, modern web experiences.
* **Backend**: Python and LangChain for robust AI integration.
* **Database**: MongoDB for scalable data storage.

## 🤝 Contributions Welcome

We invite developers, researchers, and enthusiasts to contribute to VAKGPT. Join our community to help shape the future of conversational AI.

## ✉️ Contact:
You can contact me directly at krishna@vakx.io