Greetings from Metric AI. I am an AI speaker. It's great to be with you today. Imagine the total amount of your documents, information, and knowledge saved in one library. Our Metric AI application allows you to create a knowledge base and get answers to questions about anything related to the data and information contained in that knowledge base. Metric AI speaks many languages, so regardless of the language in which the document is saved in the database, communication will take place in the language of the user. We all love cakes, don't we? Let's look for a recipe for healthy muffins. The recipe is here. We also received a reference to the original document. Let's translate the recipe into English. As you can see, Metric AI Copilot understands the context of the conversation. Let's talk about car prices. We are interested in how much a Ford Focus with a gasoline engine costs. In the answer, there are several prices, depending on the power of the engine and equipment. Everything is correct. References from the local knowledge base are there. Data can be formatted differently. Through the knowledge question form, we will ask a similar question. This time, we ask that the answer be an HTML. Let's copy the resulting HTML text into the Metric AI text editor. We selected the option to copy the HTML code. By clicking Preview, the HTML code is displayed in a human readable table. The specialty of the Metric AI text editor is the specialized menus through which we start the AI to rephrase, change, fix and convert the text. As it is impossible to predict all wishes and needs, we have added two menus at the end. Use the first sentence as a prompt and use the last sentence as a prompt. So, in the first or last sentence, you tell the Metric AI text editor what you wanted to do with or based on the text. We send the prices to the customer. We only need the introductory text, so we ask AI text editor to generate it. Now I will show you how to create your own knowledge base. For easier organization of documents, we will create a folder, upload a document from a local computer to the folder. I am opening the document that is now in the repository to help you follow this presentation. It is the manual for the washing machine. Now we will add a new document to the knowledge base. The document is converted into a series of numbers, vectors, and these numbers are stored in the vector database. Let's show how Metric AI helps in the service and use of the washing machine. The washing machine shows aery 3. What to do? Detailed answer please. The answer is clear and correct. Now we continue to talk with Metric AI about the washing machine. We are interested in what washing programs there are. The answer will be meaningful and verifiable. Verifiable because references and links to the documents on the basis of which the answer was created or attached. If you trust the documentation you enter into the knowledge base, you can trust the answer. It is possible to store texts in various formats in the knowledge base, doc, pdf, rdf, txt. It is possible to add text to the database as well as links to web content directly through the editor. Information about usage and costs is visible in the table. Thank you for watching. A team of engineers from Metric DOO, from SagaRab, Croatia, wishes you a nice day.