Which dataset build option is best for adding a large number of new documents?

The best option for adding a large number of new documents is the choice that involves full analytics with ingest. This method allows for the complete analysis of all new data being added to the dataset, ensuring that all information is processed thoroughly. When you choose full analytics, the entire content of the documents is examined, which can reveal patterns and insights that could be missed during simpler processing methods.

Additionally, incorporating ingesting during this process means that the new documents are not only added but also analyzed in real-time, providing immediate insights and enhancing the dataset with the latest information. This option ensures that both the depth of analysis and the currency of data are optimized, making it highly effective for handling large volumes of new documents.

The other choices, although they may offer some benefits in specific scenarios, do not provide the same level of comprehensive analysis and integration of new information. For example, incremental analytics with ingest would only analyze the new documents in the context of existing data, which might not be as robust as a full analysis. Full analytics without ingest would analyze existing data comprehensively but wouldn't effectively add new documents into the dataset, making it less suitable for the task at hand. Thus, the best approach in this context is full analytics with ingest, as it maximizes both