Real-Data Management AI Chatbot

Data management has traditionally been time-consuming and complex. Extracting specific information often required technical expertise and complicated queries. But AI chatbots, like tsukat’s “Talk2Data,” are changing that.

This tool harnesses the power of a large language model (LLM) by leveraging both various documentation (converted into Vector Database) and structured tabular data (typically SQL database). Users can now access vast amounts of data by typing their questions into the chat prompt—no specialized skills, multiple applications, or complex queries are needed.

So how does it work? The user types a question, and the chatbot searches databases, forming data queries for relevant information and later interpreting the delivered results. That’s it. In the response process, LLM highlights the sources of each piece of information, reducing the risk of inaccuracies or hallucinations common in AI use cases. In addition, the system can run either on the on-premise servers or in the cloud, ensuring that sensitive information remains secure.

To showcase our AI chatbot’s abilities, we’ve compiled a fictional medical database mixing real and made-up diseases and imagined patient information. This allows us to demonstrate how the chatbot can provide clear and fast insights to various users, even those without technical skills. For instance, doctors can utilize it to find treatment guidelines quickly, and medical students can easily research various diseases.

While our example focuses on the medical use case, the tsukat team can adapt “Talk2Data” for any industry that relies on data analysis. The result? Faster insights, better decision-making, and improved business outcomes.

Interested in learning more about how AI chatbots like “Talk2Data” can transform your data management? Contact us via the form, and our team will gladly discuss your specific needs.