What happens after a project is completed?
A project can continue to evolve. Improvements can be made, new features can be added, external integrations can be maintained, and the solution can be adapted as needs change.
Solutions
Can the applications be installed on our own servers?
Yes. Depending on the requirements, a solution can be deployed on cloud services, traditional hosting, VPS, Docker, or the company's own infrastructure.
Solutions
What technologies do you use?
It depends on the project. I primarily work with web technologies, Python, databases, APIs, cloud services, and tools related to Artificial Intelligence, automation, and data processing.
Solutions
Can you work on a project that already exists?
Yes. I can analyze an existing application, add functionalities, integrate new services, or automate parts of the system as long as it is technically feasible.
Solutions
Can you create an MVP to validate an idea?
Yes. It's often preferable to first develop a minimally functional version to test if the idea works before investing in a much larger platform.
Solutions
Do you develop custom applications?
Yes. I develop applications and tools aimed at solving specific needs when existing solutions do not adequately cover the process.
Solutions
Does a RAG assistant always respond correctly?
No. AI models can make mistakes. That's why it's important to design information retrieval well, limit the available sources, and, when necessary, show the references used to generate the answer.
Intelligent Assistants
Can the assistant be integrated into a website or application?
Yes. It can be incorporated into a website, intranet, internal application, or any system from which integration can be performed.
Intelligent Assistants
Is it necessary to train an Artificial Intelligence model from scratch?
Generally not. A RAG system allows the use of existing models and provides them with the necessary information for each query, which is usually much faster and cheaper.
Intelligent Assistants
