Overview

Create GPT assistants and Custom GPTs from your databases.

1. Set up your Data Source (database)
2. Add some Data Views (SQL scripts)
3. Configure your GPT Assistant (from selected sources)
4. Chat with the built-in Assistant or create a custom GPT
5. Publish it on the ChatGPT store or share it privately to chat with your data!

Releases

DataLangInitial

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Initial release

June 16, 2023

Alexandro Martínez

wrote:

Initial release of DataLang.

Alexandro Martínez

@alexandromartne

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1 tool

Beginner

Joined: January 2024

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Freemium

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$19/month

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Monthly

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Pros and Cons

Pros

Data queries in plain language

No technical knowledge required

GPT-3 for natural answers

Three-step process

Encrypted connection credentials

API for data and questions

Simplified data insights

User-friendly interface

Flexible question capability

Integrates with other tools

Subscription for product updates

Securely handles user information

Easy setup for data source

Ability to name data sources

Privacy-focused

User-friendly login and signup

Blog for additional resources

Available demo

View 13 more pros

Cons

Requires data source configuration

Reliant on GPT-3 accuracy

No off-the-shelf query templates

No multilingual support mentioned

Questioning flexibility not defined

No indexing for quick search

Doesn't support real-time interrogation

Lacks user-defined reporting output

Doesn't mention non-relational databases

No visualization tools included

View 5 more cons

Q&A

What is Datalang?

Datalang is an AI tool that enables users to query their databases using natural language, effectively bridging the gap between technical expertise and end-users.

How does Datalang work?

Datalang works by converting the questions posed by the users in natural language to database queries. It uses GPT-3 to generate natural language answers for the users based on their queries.

What kind of questions can I ask Datalang?

You can ask Datalang almost any question you would ask a data analyst. Examples include questions about the number of users in a given timeframe or the most common values in a specific field.

Do I need any technical knowledge to use Datalang?

No, you don't need any technical knowledge to use Datalang. You just need to know your data source connection string.

How does Datalang secure my data?

Datalang ensures data security by encrypting connection string credentials. The credentials are only decrypted when necessary for data operations.

Can I integrate Datalang with other tools?

Yes, Datalang can be integrated with other tools. It has an API to manage data sources and questions.

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Which AI technology is being used by Datalang?

Datalang uses GPT-3 AI technology to generate natural language answers.

How does Datalang generate answers?

Datalang uses GPT-3 to generate human-like, natural language answers based on user queries.

How do I set up my data source on Datalang?

To set up your data source on Datalang, you need to configure your connection string and name your data source.

How does Datalang make data insights more accessible?

Datalang makes data insights more accessible by enabling non-technical users to ask queries to their database in natural language and generate human-like answers with the help of GPT-3.

What steps do I need to follow to get data insights from Datalang?

To get data insights from Datalang, follow these three steps: 1. Set your data source by configuring your connection string and naming it. 2. Ask your question in natural language. 3. Get your answer, which Datalang generates using GPT-3.

How user-friendly is Datalang?

Datalang is very user-friendly. It's designed to be easy to use and doesn't require any technical knowledge. Users only need to know their data source connection string to get started.

Can I manage my data sources and questions through Datalang's API?

Yes, you can manage your data sources and questions through Datalang's API.

How does GPT-3 fit into the functionality of Datalang?

GPT-3 fits into the functionality of Datalang by enabling the generation of human-like, natural language answers to user queries.

Is data privacy ensured in Datalang?

Data privacy is ensured in Datalang by encrypting connection string credentials, ensuring data operations are securely managed.

How does Datalang translate my questions into database queries?

Datalang translates your questions into database queries by interpreting your natural language questions, and the specific data analytics related to it, and then turning it into an appropriate database query.

What do I need to know to config my data source connection on Datalang?

To configure your data source connection on Datalang, you only need to know your data source connection string.

Who can benefit from using Datalang?

Any non-technical user who needs to fetch data from a database can benefit from using Datalang. This includes business professionals, data analysts, researchers, marketers, and many more.

Do I have to understand SQL to use Datalang?

No, you do not have to understand SQL to use Datalang. Datalang is designed to interpret your natural language queries and return data insights without requiring any technical knowledge from the user.

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DataLang

Overview