Talk to your data!
VerbaGPT aims to make data analytics using large language models easy without compromising data privacy.
You can ask questions of your CSV or SQL data in natural language and get answers quickly. See VerbaGPT in action below:
See more examples using menu at the top-right of this page.
Try a Live Demo of VerbaGPT
More Than Talk…
More answers, more complex questions. Go beyond simple data aggregation queries. Get the ability to make plots, ask complex queries, and even perform data modeling. See example videos of VerbaGPT in action (menu, top-right).
No Sharing Data…
Your data is more important than ever. Don’t give away your strategic asset by giving an Ai vendor or an LLM access to your data.
VerbaGPT can run locally on your hardware. VerbaGPT’s distinctive architecture guarantees that the Large Language Model (LLM) is never granted direct access to your data. Instead, only the database schema—specifically, table and column names—are disclosed to the LLM, along with any column-related details that you, the user, expressly authorize for sharing.
On the product roadmap is incorporating local models (like LLama), which would allow for completely offline analytics.
Simple and Intuitive…
VerbaGPT presents an easy way to harness the power of LLMs for tabular data exploration. We have designed it so that the focus is on you getting the most from your data, and pushing all the complexity of generative Ai to the background.
Enough talk, see it in action!
See videos here. We will be posting more video examples of VerbaGPT in action regularly. If you are interested in requesting access to VerbaGPT, or having us do a demo for you, or just want to share your thoughts, come right in.
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Verba Connect
In this post we explore a new concept we are calling Verba Connect. Firms with subject matter expertise (e.g., lawyers, management consultants, IT consultants etc.) have the expertise spread throughout the firm and across geographies. People generally work with who they know, and that results in siloed teams that can limit the value delivered to…
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VerbaGPT + AzureSQL
In this example we demonstrate using VerbaGPT together with AzureSQL. We use a sample AzureSQL database in this example. Video: User question: give me the top 10 courses in terms of the number of students enrolled in them. Also include the average grade for those courses. VerbaGPT response: Cost of query: $0.00 (Bing option) VerbaGPT…
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Report Generation
In this example we use VerbaGPT to create and compare a neural network model to linear regression while using the famous Abalone dataset . We then ask it to generate a report for us. Video: User question: Give me a neural network and a linear regression model to predict rings. Compare their performance. VerbaGPT response:…
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Snowflake Demonstration
In this example we demonstrate using VerbaGPT together with Snowflake. We use the Snowflake sample database in this example. Video: User question: give me the total account balance for customers by nationkey. Grab name of nation as well. VerbaGPT response: Cost of query: $0.00 VerbaGPT gives us exactly what we asked for. VerbaGPT is a…
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Neural Network
In this example we use VerbaGPT to create and compare a neural network model to linear regression while using the famous Abalone dataset . Video: User question: apply a neural network approach to predict rings. Give me the r2 and compare it to a linear regression approach VerbaGPT response: Cost of query: $0.00 Neural network…
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Create a Histogram
In this example we ask VerbaGPT to produce a plot. We use a comma-separate-value (csv) data source, and use the well known “Abalone” dataset . This dataset has a column called Rings, which is a proxy for the age of Aabalones (a type of mollusk). Video: User question: give me a histogram for rings, color…
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Multi-Join Query
In this example we use VerbaGPT to get a semi-complex query involving multiple joins using the Chinook dataset. Video: User question: what are the top 3 selling genre in chinook data? VerbaGPT response: Cost of query: $0.00 VerbaGPT answers the question correctly. The query seems innocuous enough, but there is more going on under the…
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Advanced Charting
In this example we use VerbaGPT to get an advanced charting technique while using the famous Chinook dataset. Video: User question: from the chinook db, can you plot the number of customers by country on a map, and color code it by number of customers (white for few, and green for more)? VerbaGPT response: Cost…
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Conditional Count
In this example we use VerbaGPT to get a conditional count of the target variable from the famous abalone dataset. Video: Coming soon… User question: For the Abalone dataset, give me the count of Rings > 10. VerbaGPT response: Cost of query: $0.00 Count of Rings > 10: 1447 VerbaGPT answers the question correctly and…
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Polymodeling
In this example we use VerbaGPT to create multiple models to predict the progression of diabetes from the famous diabetes dataset. Video: User question: Give me 3 best models to predict the iris flower. Please rank their performance, and include confusion matrix as at least one measure of performance. VerbaGPT response: Cost of query: $0.00…
Interested? Talk to us!