DataLang: Build and share custom data chatbots easily

Frequently Asked Questions about DataLang

What is DataLang?

DataLang is a platform that helps people make chatbots from their data. The platform allows users to connect different data sources such as SQL databases, files, Notion, Google Sheets, websites, HubSpot, and more. After connecting the data sources, users can set up views to decide what data the chatbot should use. The next step is training the AI model, which teaches the chatbot to understand and respond based on the data. Once the chatbot is ready, it can be shared in various ways. Users can embed the chatbot on their websites with a widget, share it via a public URL, publish it to the GPT Store, or access it through an API. This makes it easy to build interactive experiences for visitors or clients.

DataLang offers different plans: a free plan for basic uses, a Basic plan at $19 per month, a Pro plan at $49 per month, and a Business plan at $399 per month. The free plan includes limited features and data sources, which is good for trial or small projects. Paid plans unlock more features suitable for larger teams and organizations.

Creating a chatbot with DataLang involves four main steps: connect your data sources, configure the chatbot, train the AI model, and then share or deploy the chatbot. This simple process allows users to quickly set up tools for various purposes. Possible use cases include helping data analysts query data through chat, adding chatbots to websites for customer support, sharing data insights via APIs, automating data reports, and building interactive dashboards.

The features of DataLang include support for multiple data sources, easy configuration, options for public sharing, API access, and the ability to publish on the GPT Store. The platform makes data interaction simple and accessible without needing coding skills. It targets users like data analysts, business analysts, software developers, data engineers, and product managers.

By using DataLang, users can replace manual data querying, static FAQ pages, canned customer support scripts, spreadsheets for reporting, and static website contents. This platform simplifies how organizations interact with their data, making insights more reachable and engaging. DataLang provides a cost-effective, flexible way to turn data into conversational AI, suitable for various business and technical needs.

Key Features:

Who should be using DataLang?

AI Tools such as DataLang is most suitable for Data Analysts, Business Analysts, Software Developers, Data Engineers & Product Managers.

What type of AI Tool DataLang is categorised as?

What AI Can Do Today categorised DataLang under:

How can DataLang AI Tool help me?

This AI tool is mainly made to custom chatbot creation. Also, DataLang can handle connect data sources, configure chatbot, train ai model, share chatbot & deploy to website for you.

What DataLang can do for you:

Common Use Cases for DataLang

How to Use DataLang

Connect your data sources, configure your chatbot, and share or deploy it via URL, embedded widget, or GPT Store.

What DataLang Replaces

DataLang modernizes and automates traditional processes:

DataLang Pricing

DataLang offers flexible pricing plans:

Additional FAQs

How do I create a chatbot with my data?

Connect your data sources, add data views, and train the AI to chat with your data.

Can I embed my chatbot on my website?

Yes, you can embed it using the chatbot widget or share via a public URL.

What data sources are supported?

Supported sources include SQL databases, files, Notion, Google Sheets, Content, Website, HubSpot, and more.

Is there a free plan?

Yes, there is a free plan with basic features and limited data sources.

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Getting Started with DataLang

Ready to try DataLang? This AI tool is designed to help you custom chatbot creation efficiently. Visit the official website to get started and explore all the features DataLang has to offer.