Vault

AI-powered data collection and processing based on tables

Expand your knowledge base by growing notes, asking diverse questions, and accumulating data across multiple dimensions. Build comprehensive datasets that enable quality AI-powered answers through structured data collection.

How It Works

1

Expand Notes (Rows)

Grow your knowledge base by continuously adding new notes and entries. Each row represents a distinct piece of information, allowing you to build a comprehensive collection of data points. As you expand the list of notes, you create a richer, more detailed dataset that forms the foundation for quality AI-powered responses.

2

Ask Different Questions (Columns)

Define various questions and queries related to your topic. Each column represents a different aspect or question you want to explore. By asking diverse questions across columns, you create multiple dimensions of inquiry that help uncover different perspectives and insights from your data. This multi-question approach ensures comprehensive coverage of your topic.

3

Accumulate Data (Third Dimension)

Build depth by accumulating more data points for each question-note combination. The third dimension represents the accumulation of multiple data entries, observations, or answers for the same question across different notes. This layered approach allows you to gather sufficient context and evidence, ensuring that AI can provide quality, well-informed answers based on comprehensive data rather than single data points.