Tezeract
Building an Unbiased World
Building an Unbiased World
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.
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 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.
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:
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.
