EvoAI

AI-powered Multi agent chabot

Industry

Finance

Project Duration

2 months

Location

United States

Client Name

Sudeep kulkarni

Project Overview

EvoAI is an advanced AI agent built to handle complex, industry-specific queries. It supports diverse data formats and real-time requests, enabling users to create custom agents by uploading data and engaging in dynamic conversations. With specialized agents for general and stock data, EvoAI provides accurate insights using advanced language models and real-time processing.

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Problem

Our client wanted to create an AI-powered agent that can be trained on data

EvoAI was already an existing application with a front end, but our client needed to move beyond a basic chatbot. The challenge was to turn EvoAI into a powerful AI agent that could understand and respond to complex user questions across various industries. This required using advanced AI technology to provide LLM-powered chatbot solutions that could grasp user intent and give accurate answers based on the context. The solution needed to handle different data formats, respond to real-time requests, and adapt to different user needs, making EvoAI a flexible custom AI agent for any industry.

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Solution

Creating Personalized AI Agents to Meet User Needs

Leveraging our advanced AI expertise and LLM-powered chatbot solutions, we transformed EvoAI from a basic chatbot into a sophisticated AI-powered agent that can be trained on any data to meet the needs of various industries. The enhanced EvoAI enables users to create custom AI agents in real time by uploading data files, naming the agent, and engaging in interactive conversations about the content. The AI agent utilizes Llama, a Meta model integrated with Grok, to generate accurate answers based on context from embeddings, ensuring that responses are relevant to the provided data.

To address different requirements, the solution was divided into two main types of AI agents:

  • Generic AI Agent – Designed to be trained on any dataset according to user preferences, making it adaptable to various industry needs.
  • Stock AI Agent – Specifically tailored for stock-related data, offering real-time and comprehensive information on a variety of assets, including company stocks, cryptocurrencies, and other financial instruments.

 

For handling real-time queries, such as cryptocurrency prices or stock data, the system dynamically generates MongoDB queries tailored to the user’s request. It employs synonym recognition and contextual understanding to accurately interpret terms, such as mapping “Bitcoin” to “BTC.” When users ask about trends or future predictions, the AI analyzes historical data and applies statistical techniques to forecast potential outcomes.

EvoAI’s multi-layered architecture combines embeddings, language models, and real-time data processing to effectively understand complex user queries. This approach enables the AI agent to deliver a scalable and flexible solution, supporting diverse data types and user needs. By integrating advanced natural language understanding with robust data handling capabilities, EvoAI ensures an intelligent and adaptive interaction experience for users across a wide range of applications and industries, exemplifying our commitment to AI-driven chatbot development.

The Results

Seamless User Experience with Intuitive Agent Setup

EvoAI’s easy-to-use interface for agent creation, data uploads, and real-time customization offers a 40% reduction in time spent on AI agent management. 

Real-Time Data Processing for Instant Insights

he solution handles real-time queries, such as cryptocurrency and stock data, with dynamic MongoDB query generation. This enables fast, contextually accurate responses, increasing decision-making efficiency and empowering businesses to act on timely information instantly.

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What tech stack do we use for the AI agent development case study?

Leveraging EvoAI With Our Advanced Artificial Intelligence Technology Stack

Python
Mongo db
Fastapi
lama
groq
EvoAI(We code) Tezeract

PyPDF

VectorDB

VectorDB

groq

The Challenge

Accurately interpreting user queries without prior context was a significant challenge in developing the AI-powered agent. We tackled this by using LLM-powered chatbot solutions to implement synonym recognition and natural language processing, ensuring the custom AI agent could map terms like “Bitcoin” to “BTC” effectively.

The requirement for users to create AI agents at runtime using various file types posed integration challenges. We implemented a system that processed uploaded files into embeddings, allowing the AI agent to match queries to relevant content dynamically. This ensured that agents could adapt flexibly to diverse data and industries.

Handling real-time data requests, like stock prices or cryptocurrency values, required a dynamic approach to query generation. We developed a system where the AI agent could create MongoDB queries in real time, optimizing the data retrieval process. This enabled the LLM-powered chatbot to provide timely and contextually relevant information, reinforcing the solution’s capability for AI-driven chatbot development.

EvoAI(We code) Tezeract
EvoAI(We code) Tezeract

The Process

We aligned with the business vision to develop a thorough project brief, which included extensive market research, competitor analysis, and relevant data. We then brought the concept to life by defining a detailed list of user stories and features to validate the core assumptions of the MVP.

At this stage, our focus shifts to developing the AI agent development case study by designing the architecture of the AI model and training it.

After the product launch, we collected feedback from end-users to refine and enhance the product. We introduced new iterations and features concurrently to ensure an optimal user experience.

Key Features


EvoAI simplifies creating and managing AI agents with quick data uploads, easy naming, and intuitive controls. Features like chat history viewing and agent deletion make it accessible for non-technical users while supporting powerful AI customization.

EvoAI’s multi-layered architecture, combining language models and real-time data handling, adapts to diverse use cases. Its ability to process various data types ensures accurate responses as data volume or complexity grows, making it ideal for expanding businesses.

EvoAI offers versatile AI agents, including a Generic Agent for diverse data and a Stock Agent for real-time financial info. This adaptability ensures accurate, context-aware responses across industries, from stock analysis to customer support.

evo AI

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