Achieve your business goals with AI
Our experts will tackle your challenges through seamless, secure and sustainable AI integration.
A shift is happening
Getting data privacy and security right is the greatest barrier to AI’s adoption.
It’s undeniable that AI will drive the future, and be beneficial in terms of convenience and cost-efficiency. However, AI tools have inherent risks, especially since AI and machine learning are still in their early stages of development.
Why choose Devōt for AI software development services?
Experienced developers that use AI
We take care of your privacy and security
Developing AI ideas from the ground up
A team of engineers that incorporated advanced AI techniques
Strategically leveraging cutting-edge algorithms and machine learning models optimizes processes, enhances customer experiences, and fuels sustainable growth.
A team of engineers that incorporated advanced AI techniques
Strategically leveraging cutting-edge algorithms and machine learning models optimizes processes, enhances customer experiences, and fuels sustainable growth.Completed projects - chatbot 'ante'
Redefining employee queries with an AI workforce adviser
How has our internal AI story turned into an external solution?
As with all good software, it started with a problem.
As Devōt grew, we began developing processes and guidelines, documenting everything in one place. However, navigating through all this documentation can be tiresome and time-consuming.Observing how people preferred to ask questions and wait for responses instead of searching through existing documentation highlighted the need for a better solution.
Chatbot named “Ante”
To ensure that our chatbot could accurately identify and provide relevant answers, we taught AI about internal documentation and converted that documentation into embeddings. This allowed the AI to understand and compare questions effectively.
The process
1.
Storing
embeddings in a
vector databaseAll the information from our Employee Handbook and Work Regulations serves as the knowledge base for our AI assistant.
Unstructured data, such as text lacking a predefined format, poses challenges for traditional databases. Our solution was to encode all the information as embeddings and store them in a vector database.
Unstructured data, such as text lacking a predefined format, poses challenges for traditional databases. Our solution was to encode all the information as embeddings and store them in a vector database.
2.
Refining Ante
using RAG
arhitectureTo effectively answer domain-specific questions, we retrieve the most relevant information from our vector database using a similarity search algorithm.
Vector embeddings enable us to seamlessly present these sources to users, allowing them to verify the provided information and reference the documentation directly.
Vector embeddings enable us to seamlessly present these sources to users, allowing them to verify the provided information and reference the documentation directly.
3.
Bringing Ante to
life with
ChatGPTBy integrating user questions with the most relevant data, we harness the power of the most advanced Large Language Model.
ChatGPT serves as our assistant in extracting precise and accurate answers directly from our documentation. As a result, our AI chatbot can provide tailored, comprehensive responses .
ChatGPT serves as our assistant in extracting precise and accurate answers directly from our documentation. As a result, our AI chatbot can provide tailored, comprehensive responses .
The benefits
