ContextAI – RAG AI Context Training & Reply Module for WhatsML

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

1. Upload documents or enter plain text for AI training
2. ContextAI converts data into vector embeddings
3. Create one or more AI agents and assign trained data
4. User sends a WhatsApp message
5. Relevant context is retrieved using RAG
6. AI engine (OpenAI or Gemini) generates the response
7. 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