frequently asked questions

What is Retrieval-Augmented Generation (RAG)?

Retrieval-Augmented Generation (RAG) is an advanced AI approach that enhances traditional models by combining real-time data retrieval with generative AI. Instead of relying only on pre-trained knowledge, RAG dynamically pulls relevant information from trusted sources before generating responses. This method improves accuracy, keeps insights up to date, and ensures that AI-generated answers are contextually relevant—making it especially valuable for fields like healthcare and dentistry, where precision is critical.

Does your AI use personal patient data?

No, Academica AI does not process or store any personal patient data. Our AI model is built on trusted clinical articles, educational materials, and validated external sources—not individual patient records.

If we collaborate with partners who provide data, all information is fully anonymized before integration. This ensures compliance with privacy regulations and maintains the highest standards of data security and ethical AI use in dentistry.

What is the source of Odontology AI’s database?

Academica AI’s database is built from a variety of carefully selected sources like PubMed.