Harnessing the Power of Language Models to Solve Big Data Challenges

Language models have limitations in the context size, but we developed a solution that facilitates general and detailed analysis of extensive text datasets. We handle general questions for a single document by loading the entire text into the model's context. To overcome context size limitations with larger datasets, we use vector databases. This approach allows us to query across multiple documents and derive answers from relevant sections.