Constructor Model is a solution that allows you to create and manage knowledge models. These models organize and manage uploaded source data so that artificial intelligence (AI) can understand and use it when interacting with users, for example, answering their questions, generating text, and so on.
In Constructor Platform, knowledge models are powerful tools designed to enhance learning, teaching, and research. They provide learners, educators, and researchers with quick and easy access to subject-specific information. By using knowledge models, users can explore topics more effectively, deepen their understanding, and simplify their studies or research.
Two types of knowledge models are available:
Create your knowledge model and upload your own files containing source data for the model to use in generating answers. The model will analyze the contents of these files based on keywords, topics, and their relationships.
Enter your question in the chat input field. For more accurate results, provide sufficient context and use plain language. The model will reply based on the data from the files, and each response will reference the files used to generate it.
You can use knowledge models in various scenarios, such as:
Alternatively, you can choose to chat directly with the large language model (LLM) engine selected for your model (such as Google Gemini or Anthropic Claude). In this mode, no uploaded files are used.
You can create various knowledge models based on different sets of data and enable or restrict public access to them. Constructor Model ensures the security of your data by providing flexible configuration of user access permission levels.
For quick start information on using knowledge models, see the following:
For the information on how to use knowledge models, see Managing knowledge models.