Overview
Banao Technologies collaborated with EvoAI to transform a basic chatbot into an advanced, AI-powered agent capable of understanding complex, multi-domain queries. The system allows users to create personalized AI agents by uploading their own datasets and engaging in dynamic, context-aware conversations. Built with LLMs, real-time processing, and adaptive learning, EvoAI is redefining how industries interact with intelligent systems.
Industry
SAAS & Tech productBusiness type
AI-Powered Custom Agent Platform
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Impact After Launch
EvoAI introduced an intelligent, user-centric approach to building custom AI agents. Through automated data ingestion, synonym recognition, and dynamic MongoDB query generation, it provides accurate and instant insights — enhancing decision-making and enabling businesses to act in real time with confidence and precision.
Key results achieved after deployment
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reduction in AI agent setup and training time,
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custom AI agents deployed across industries, and
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improvement in real-time query response accuracy.
Challenge
The client needed a system that could understand context-specific user queries, handle multiple data formats, and generate instant, reliable responses. EvoAI had to go beyond being a simple chatbot — it needed to become a dynamic, industry-ready AI agent creation platform.
Our Solution
Banao Technologies engineered EvoAI into a scalable, LLM-powered agent platform using FastAPI, Llama, and Groq integrations. The system supports runtime agent creation from uploaded datasets, converts files into embeddings, and dynamically generates MongoDB queries for real-time insights. This architecture ensures that agents can adapt to diverse industries and data sources with precision.
Features Implemented:
- LLM-powered chatbot with synonym recognition and contextual understanding
- Dynamic AI agent creation using uploaded datasets
- Real-time query generation with MongoDB and VectorDB integration
- Stock and Generic AI Agents for industry-specific responses
Key Features Implemented
A modular AI agent framework enabling real-time, adaptive, and industry-specific insights through advanced LLM integration and contextual data mapping.
Personalized AI Agent Creation
Users can upload data, define agent goals, and interact instantly with a trained, context-aware AI agent tailored to their dataset.
Dynamic Query Generation
Real-time MongoDB query generation based on natural language inputs ensures accurate, live data retrieval for complex queries.
Synonym & Context Recognition
The system intelligently interprets synonyms and related terms — mapping inputs like “Bitcoin” to “BTC” — for accurate contextual understanding.
Scalable Multi-Agent Architecture
EvoAI supports both Generic and Stock AI agents, offering flexibility across industries — from finance to customer support.
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Frequently Asked Questions
What is EvoAI?
EvoAI is an AI-powered agent platform that enables users to create custom AI agents trained on their own data, capable of real-time, context-aware conversations across various industries.
How does EvoAI handle real-time data?
EvoAI dynamically generates MongoDB queries to fetch and process live data such as stock prices and cryptocurrency updates, ensuring instant and accurate responses.
Can users train EvoAI on their own datasets?
Yes, users can upload files in multiple formats, and EvoAI automatically processes them into embeddings for precise, data-driven conversational responses.
What technologies power EvoAI?
The platform is built using Python, FastAPI, Llama, Groq, MongoDB, and VectorDB — ensuring speed, scalability, and high accuracy for real-time query understanding.