ToolMeshToolMesh
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DataLang

★3.5
💬36
💲Freemium

DataLang is a powerful platform that enables users to build custom chatbots from diverse data sources using AI. It offers an intuitive interface for connecting data, configuring chatbots, and sharing them through multiple channels. The tool supports advanced features like natural language processing and AI-driven data analysis, making it suitable for both small teams and large enterprises.

💻
Platform
web
AIAPIChatbot WidgetCustom ChatbotsData AnalysisData IntegrationGPT Assistant

What is DataLang?

DataLang is a platform that allows users to create custom chatbots from various data sources using AI. It is designed for individuals and organizations looking to build interactive, AI-powered chatbots that can query and analyze data from multiple sources such as Postgres, Google Sheets, Notion, and more. The tool simplifies the process of turning complex data into easy-to-use conversational interfaces, making it ideal for businesses, developers, and data analysts who want to share insights with users, employees, or customers in an intuitive way.

Core Technologies

  • Natural Language Processing
  • AI-Powered Insights
  • GPT Assistant
  • Data Integration
  • SQL

Key Capabilities

  • Connect multiple data sources
  • Configure chatbot
  • Share chatbot via public URL, website embed, or GPT Store
  • Natural Language Processing
  • AI-Powered Insights
  • Data Analysis
  • Interactive Querying
  • Intuitive Data Exploration

Use Cases

  • Create chatbots from Postgres, Websites, Google Sheets, Notion, Files, Text, HTML, and more.
  • Share data insights with users, employees, or customers through a chatbot interface.
  • Enable interactive querying of data for better decision-making.
  • Use chatbots to streamline customer support and internal data access.

Core Benefits

  • Easy chatbot creation from diverse data sources
  • Multiple sharing options (Public URL, Widget, GPT Store, API)
  • Plans for organizations of all sizes
  • AI-powered data exploration and querying
  • Supports SQL and multiple data formats

Key Features

  • Connect multiple data sources (SQL, Files, HTML, Notion, Google Sheets...)
  • Configure chatbot
  • Share chatbot via public URL, website embed, or GPT Store
  • Natural Language Processing
  • AI-Powered Insights
  • Data Analysis
  • Interactive Querying
  • Intuitive Data Exploration

How to Use

  1. 1
    Connect your data sources to the platform.
  2. 2
    Add data views to structure your data.
  3. 3
    Train the GPT Assistant with your selected data sources.
  4. 4
    Share the chatbot via public URL, website embed, or GPT Store.

Pricing Plans

Free

$0 usd/month
1 user, 1 data source, 100 credits, Chatbot Widget

Basic

$19 usd/month
2 users, 10 data sources, 1,000 credits/month, Chatbot Widget

Pro

$49 usd/month
6 users, 50 data sources, 3,000 credits/month, Chatbot Widget, Basic support

Business

$399 usd/month
12 users, 1,000 data sources, 20,000 credits/month, Chatbot Widget, Priority support

Frequently Asked Questions

Q.What data sources can I use to create a chatbot?

A.You can create chatbots from Postgres, Websites, Google Sheets, Notion, Files, Text, HTML, and more.

Q.How can I share my chatbot?

A.You can share your chatbot with a public URL, embed it on your website, publish it to the GPT Store, or ask questions via API.

Q.What are the steps to create a chatbot?

A.1. Set up your Data Source. 2. Add a Data View. 3. Chat with your data. 4. Share it!

Q.Can I use DataLang for free?

A.Yes, DataLang offers a Free plan with limited features, including 1 user, 1 data source, and 100 credits.

Q.What happens if I exceed my credit limit?

A.If you exceed your credit limit, you may need to upgrade to a higher-tier plan to continue using the service.

Pros & Cons (Reserved)

✓ Pros

  • Easy chatbot creation from diverse data sources
  • Multiple sharing options (Public URL, Widget, GPT Store, API)
  • Plans for organizations of all sizes
  • AI-powered data exploration and querying
  • Supports SQL and multiple data formats

✗ Cons

  • Credits are limited based on the pricing plan
  • Some features like support and DataLang branding removal are plan-dependent

Alternatives

No alternatives found.