Project Description

Our ChatBot solution provides a highly intuitive administrative interface, comprehensive chat tracking capabilities, and data correction functionalities, ensuring optimal performance and accuracy.

The problem

The ChatBot systems play a key role in solving a number of business problems, helping to improve customer service, reduce costs, increase sales, and optimize operational processes. We created our bot in order to control the content in training of our employees and to offer a reliable solution to various of our clients who trust our expertise.

The solution

The ChatBot offers a wide range of personalization options, allowing customization of the interface, behavioral responses, and the depth of interactions to meet the specific needs of users. The system is designed to support multiple individual bots, each capable of handling distinct datasets and seamlessly integrating with various platforms. The user interface is both clean and functional, enhancing ease of use, while the underlying vector database enables real-time bot training, ensuring continuous improvement and adaptability.

Our team was responsible  for

  • Identifying and gathering requirements
  • UI/UX
  • Implementing the web user interface
  • Integration with Machine Learning models

The client

The application can be used by all clients who need a smart assistant trained with specific information. It can be used for customer support for their businesses, like e-shops, web platforms, etc., as well as a helper to the employees.

Frontend technologies

 web UI – Angular

How we used ML

To detect and analyze load data effectively, we leverage powerful machine learning tools and libraries. Large Language Models (LLM) are used to generate embeddings and analyze chatbot interactions and user queries. For efficient data handling and numerical computations, we use NumPy, while FAISS provides the capabilities needed to manage and search through vector databases.

Backend technologies

Java
Python
ML Models