Note: This is a add-on designed for WhatsML. It is not a separate script.

Overview

ContextAI is an advanced RAG (Retrieval-Augmented Generation) based AI training module for WhatsML , designed to build context-aware WhatsApp chatbots. Using ContextAI, you can train AI models with your own documents or text data and deliver accurate, business-specific replies on WhatsApp. The module supports multiple AI agents, OpenAI and Google Gemini, and includes a built-in vector database — no external services required.

Key Features

RAG-Based AI Training System
Multiple AI Agents Support
Built-in Vector Database (No Third-Party Required)
Train AI Using Documents or Plain Text
Supports OpenAI & Google Gemini
WhatsApp-Optimized Smart Replies
Easy Integration with WhatsML
Low Hallucination, High Accuracy Responses
Business-Ready & Scalable Architecture

Module Features

RAG-Based Contextual AI

ContextAI uses Retrieval-Augmented Generation (RAG) to generate responses strictly from trained data, ensuring accurate and reliable answers with minimal hallucination.

Multiple AI Agents

Create and manage multiple AI agents for different purposes:

Sales Assistant
Customer Support Bot
FAQ Assistant
Product Information Agent

Flexible AI Training

Train your AI agents using:

Document files
Plain text input
Custom business knowledge

You can update or retrain data anytime.

Built-In Vector Database

No need for external vector database services like Pinecone or Weaviate. ContextAI automatically handles embedding generation, storage, and retrieval internally.

Multi AI Engine Support

Choose your preferred AI engine:

OpenAI
Google Gemini

Switch AI engines without changing chatbot logic.

WhatsApp Ready Responses

Responses are optimized for WhatsApp conversations — short, clear, and context-aware.

How It Works

Upload documents or enter plain text for AI training
ContextAI converts data into vector embeddings
Create one or more AI agents and assign trained data
User sends a WhatsApp message
Relevant context is retrieved using RAG
AI engine (OpenAI or Gemini) generates the response
Smart reply is sent back on WhatsApp

Why Choose ContextAI?

No external vector database required
Accurate responses from trained data only
Supports multiple AI agents in one system
Seamless integration with WhatsML
Flexible AI engine selection
Ideal for SaaS, agencies, and businesses

Use Cases

WhatsApp customer support automation
E-commerce product and order inquiries
SaaS knowledge base chatbot
FAQ and helpdesk automation
Lead qualification assistant
Internal business assistant

Requirements

WhatsML installed
Valid OpenAI API key or Google Gemini API key
WhatsApp Cloud API or WhatsApp Web API (via WhatsML)

What’s Included

ContextAI module files
Documentation
Free future updates
6 months support (extendable)

Script Demo

Home: https://whatsml.amcoders.com/

Admin Panel Credentials

Admin Login URL: https://whatsml.amcoders.com/login
Email: admin@admin.com
Password: password

User Panel Credentials

User Login URL: https://whatsml.amcoders.com/login
Email: user@demo.com
Password: password

ContextAI – RAG AI Context Training & Reply Module for WhatsML