Index – ContextAI

ContextAI – Advanced RAG AI Context Training & Reply Module for WhatsML (AI Chatbot)

Overview

ContextAI is an advancedRAG (Retrieval-Augmented Generation) based AI training module forWhatsML (opens in a new tab), 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 abuilt-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.