"A logical conclusion or consequence of facts." - Wiktionary
A 2ndThoughts web application built on the symphonyGPT platform, enables inference and discovery of facts about your data by asking questions in English.
Please reach us at dev@2ndthoughts.ai if you cannot find an answer to your question.
After you login to SEQUITUR, you can directly Import your data from Comma Separated Values (CSV) files, Excel spreadsheet files, or MySQL dump files. After Importing, your data will be presented as a Dataset that you may select and ask questions.
In an Enterprise environment, SEQUITUR can be deployed directly into your Amazon AWS Virtual Private Cloud and directly connect to your private database.
Your imported data is never shared nor accessible by users you do not allow access to. For further security, we can always deploy into your Virtual Private Cloud (VPC) environment in AWS.
Additionally, your data is never directly exposed to the underlying Large Language Model (LLM), neither in training, nor in inference.
(However, please treat the demo instance of SEQUITUR as demo and never import sensitive or private data into the demo, you can delete the dataset after your demonstration is done or we will occasionally delete all user data at our discretion.)
Yes, please contact dev@2ndthoughts.ai through an email request for your situation and we can help you achieve your demo goals.
This video showcases how you can load operational data from ServiceNow and use SEQUITUR to explore your data in real time to gain insight. You may ask questions that does not produce results but SEQUITUR will recover by asking your question in a different way as shown.
This video demonstrates logging into SEQUITUR, selecting the Classic Car Models Dataset, executing the Suggest Question command and selecting a question from the list.
SEQUITUR allows you to ask any question of your data in plain English. Then it can draw a chart to visulaize your data.
This video clip demonstrates a executing scripted prompts in SEQUItUR's Run environment. The demo is preconfigured to have one Run environment for the Classic Car Models dataset.
This video clip shows how to create a new dataset by importing multiple CSV files at the same time, SEQUITUR will intuitively join the data from these files to answer your questions.
Using the Print menu item, you can save the answers to your questions into a PDF file or just print it out.
In production, you can edit the prompts of a Run space to script repeatable questions on a dataset. The results can be used in a report or as an ongoing query on a continuosly growing dataset.
SEQUITUR converts your imported data files into a database schema that it can use to generate meaningful queries from your question. The Show Schema command will display the database schema of the currently selected Dataset.
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