DataLang is a platform that allows you to create custom chatbots from your data. Connect to various data sources like Postgres, Websites, Google Sheets, Notion, Files, Text, and HTML to build intelligent chatbots. Empower your data with natural language understanding and provide AI-powered insights.
DataLang Key Features
Data Source Integration
Connect to a wide range of data sources including Postgres databases, websites, Google Sheets, Notion, Files (Text, HTML, CSV), and more. Seamlessly integrate your existing data infrastructure.
Custom GPT Creation
Create custom GPT models tailored to your specific data and use cases. Fine-tune the model's behavior and knowledge base for optimal performance.
Chat Interface
Interact with your data through a natural language chat interface. Ask questions, generate reports, and extract insights using simple conversational commands.
Data Views
Create custom data views to organize and present your data in a user-friendly format. Simplify complex datasets and make them accessible to non-technical users.
No-Code/Low-Code
Build chatbots without writing code. Use a visual interface to connect data sources, define chatbot behavior, and deploy your chatbot.
API Access
Programmatically interact with DataLang using its API. Integrate DataLang into your existing applications and workflows.
How DataLang Works
DataLang connects to your data sources, indexes the data, and builds a knowledge base. You can then create custom GPT models that are trained on your data. Users can interact with the chatbot through a chat interface, asking questions and generating reports.
DataLang Benefits
Time Savings
Automate data analysis tasks and reduce the time spent searching for information. Get instant answers to your data questions.
Cost Efficiency
Reduce the cost of data analysis by empowering non-technical users to access and analyze data. Eliminate the need for expensive data analysts.
Improved Insights
Discover hidden insights in your data and make better decisions. Use natural language processing to identify patterns and trends.
Increased Productivity
Empower your team to access and analyze data more efficiently. Improve collaboration and decision-making.
Scalability
DataLang can scale to handle large datasets and complex queries. Support a growing number of users and data sources.
DataLang Use Cases
Customer Support
Build a chatbot to answer customer questions and resolve issues. Improve customer satisfaction and reduce support costs.
Data Analysis
Analyze sales data, marketing data, and financial data. Identify trends and make better business decisions.
Knowledge Management
Create a chatbot to answer employee questions and provide access to company knowledge. Improve employee productivity and reduce training costs.
DataLang FAQs
What data sources are supported?
DataLang supports Postgres, Websites, Google Sheets, Notion, Files, Text, HTML, and more.
How do I create a custom GPT?
Use the DataLang interface to connect to your data source, define the chatbot's behavior, and train the model.
Is DataLang secure?
DataLang uses industry-standard security measures to protect your data.
Who Should Use DataLang
DataLang is ideal for businesses of all sizes that want to leverage their data to improve decision-making, automate tasks, and improve customer service. It's perfect for data analysts, business users, and developers.
