Tag: Data Aggregation
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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* * Using open-source llama4-maverick model from OpenRouter VerbaGPT answers the question correctly. The query seems innocuous enough, but…
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Vague/Complex Ask
In this example we ask a vague question that isn’t straightforward, and requires joining tables in a relational database (Chinook) to give a response. Let’s see how VerbaGPT does. When I asked the question, I had “U2” in mind. Video: User question: Rank the top selling albums by that famous irish band. VerbaGPT response: Cost…
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SQL Table Joins
In this example we ask a a question that requires joining tables in a relational database (Chinook) to give a response. Video: User question: Give me the top 10 selling artists. VerbaGPT response: Cost of query: $0.00 Answer: (‘Iron Maiden’, 140) (‘U2’, 107) (‘Metallica’, 91) (‘Led Zeppelin’, 87) (‘Os Paralamas Do Sucesso’, 45) (‘Deep Purple’,…
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Summary Table
In this example we ask a simple question that gives counts of data. Video: User question: Give me a table of artist names from the data, sorted alphabetically. VerbaGPT response: Cost of query: $0.00 Answer: A Cor Do Som Aaron Copland & London Symphony Orchestra Aaron Goldberg AC/DC Academy of St. Martin in the Fields…
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Basic Data Summary
In this example we ask a simple question that gives counts of data. Video: Coming soon… User question: Give me the total number of artists in the data. VerbaGPT response: Cost of query: $0.00 Answer: Total number of artists: 275 Since VerbaGPT comes with an embedding framework, it did not have to be told where…
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Basic data aggregation
In this example we ask a simple question that gives counts of data from a table. Video of VerbaGPT in action: User question: Give me the counts of the different types of iris flower. VerbaGPT response: Cost of query: $0.00 Answer: Type: 0, Count: 50Type: 1, Count: 50Type: 2, Count: 50 VerbaGPT answered the question…