Working with CSV files
Storytell transforms CSV data into Story Tiles™, enabling powerful insights and analysis through our advanced LLM processing pipeline.
How It Works
Upload
Upload your CSV file to Storytell. For detailed instructions on uploading content, see our Uploading Content guide.
Processing
Storytell processes the first 1,000 rows of the CSV file
Story Tile™ Generation
Each row is converted into a Story Tile™.
AI Analysis
Storytell LLM analyzes the Story Tiles™.
Insight Extraction
Query your data using SmartChat™.
As you can see in the image above, your uploaded CSV files are easily accessible in the “Stored Assets” section. You can start querying your data immediately after upload.
Generating Story Tiles™
Story Tiles™ are clusters of related concepts from your data. For example, let’s say you have a CSV file with the following information:
| Name | Composition | Distance from the Sun (AU) | Orbital Period (years) | Diameter (km) |
|---|---|---|---|---|
| Mercury | Rocky | 0.39 | 0.24 | 4879 |
| Venus | Rocky | 0.72 | 0.62 | 12104 |
| Earth | Rocky | 1 | 1 | 12742 |
| Mars | Rocky | 1.52 | 1.88 | 6779 |
| Jupiter | Gas Giant | 5.2 | 11.86 | 139820 |
| Saturn | Gas Giant | 9.58 | 29.46 | 116460 |
| Uranus | Ice Giant | 19.22 | 84.01 | 50724 |
| Neptune | Ice Giant | 30.05 | 164.79 | 49244 |
| Moon | Rocky | N/A | 0.074 | 3474 |
| Titan | Icy | N/A | 15.94 | 5149 |
Here’s what a Story Tile™ would look like:
This transformation enables our AI to understand relationships and context within your data, making it possible to answer complex queries.
Querying Your Data
With Storytell, you can ask questions about your CSV data and receive clear, insightful answers through SmartChat™:
As demonstrated in the image above, when you ask about Titan’s orbital period, Storytell provides a precise answer based on the processed data.
Verifying Accuracy
Storytell’s responses are based on the data you provide. You can always verify the information by checking the original CSV file:
This screenshot confirms that Storytell’s response matches the data in your original CSV file.
Technical Considerations
- Processing limited to first 1,000 rows for speed and efficiency
- Secure, isolated environments for data privacy
- Scalable architecture for concurrent processing
Future Enhancements
- Support for larger datasets (beyond 1,000 rows)
- XLS file conversion support
- Advanced data type detection and custom Story Tile™ generation
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