Q&A

Our scientific literature question answering system utilizes advanced semantic search and generative AI technology to process and comprehend scientific texts, allowing users to pose questions and receive accurate answers from relevant literature.

Similarly to the function searching, the system employs natural language processing (NLP) techniques and deep learning models to understand the context of user queries and extract pertinent information from scientific literature or patents. It then generates concise and informative responses based on the content of the documents.

How does Q&A work?

When you ask a question the Q&A will look for the top 10 papers or patents that answers that question, and will use the information available in those abstracts to craft a response. It will provide citations or references to the original sources from which the information is derived. This feature ensures transparency and allows users to verify the accuracy and credibility of the information.

You can keep on chatting with the answer, to ask multiple questions. You also have to choose your database (science or patents) on which you would like to get the answer from.

What is the accuracy of the system?

The accuracy of our question answering system is continuously evaluated and refined through rigorous testing and validation processes. While it strives for high accuracy, the performance may vary depending on the complexity and specificity of the queries and the availability of relevant literature.

Is the system capable of handling domain-specific jargon and terminology?

Yes, the system is trained on a vast corpus of scientific literature, which enables it to understand and interpret domain-specific terminology commonly found in various scientific fields.

Can I filter the results that I want to be considered in my answer?

Yes, you can filter the results by the date you want to consider. Additionally, you can choose to only consider results that have a citation score.