DataLang is a SaaS platform that lets you create custom chatbots using various data sources like SQL, files, and web-based applications. You can configure the chatbot, share it via a public URL, embed it on your website, or publish it to the GPT Store. The setup involves selecting your data source, creating a data view, and integrating GPT. Pricing plans range from free to business options.
Integrate multiple data sources such as SQL, Files, HTML, Notion, and Google Sheets to configure chatbots.
Share your chatbot with a public URL for easy access.
Embed your chatbot on your website using the widget feature.
Deploy your GPT to the GPT Store for wider accessibility.
Interact with your data using API calls.
Allows users to interact with databases using a conversational interface, making database querying more accessible.
Transforms databases into APIs, enabling easy integration and access to database resources through standard API calls.
Allows you to define your database connection string and settings to set up the data source for your API.
Enables you to write an SQL script to retrieve the desired scope of data from the database, forming the basis of your API endpoint.
Automatically generates an API endpoint based on your DataView, allowing you to test and ensure the endpoint is retrieving data correctly.
Allows users to ask for data using simple language, making it easier to interact with databases without technical knowledge.
Provides instant responses and insights from your data, streamlining the process of understanding complex data.
Once the Data Source and View are set up, no technical skills are required to interact with the assistant.
Allows you to create a Custom GPT from your data and share it with users by exposing data to a custom GPT.
Ensures that the AI interactions stay updated with the latest data from your databases via an API.
Upload various file formats including .pdf, .txt, .json, .doc, .md, .html, etc.
Connect a PostgreSQL database to use SQL.
Connect a spreadsheet to train your assistant.
Add a Notion workspace to get its pages.
Add plain text, HTML, markdown, or code.
Add a website to get its pages.
Connect a HubSpot account to get your data.
Connect a MySQL database to use SQL.
Connect a custom server to use SQL.
Connect a Snowflake database to use SQL.
Connect a SQL Server database to use SQL.
Connect to an API to call its endpoints.
Connect a MariaDB database to use SQL.
Connect an Oracle database to use SQL.
Connect an Amazon Redshift database to use SQL.
Upload and connect a SQLite database to use SQL.
Allows you to upload a file or drag and drop it into the interface to create a chatbot.
After uploading a file, you can create a chatbot that interacts with the data in the file.
Allows you to create chatbots directly from your PostgreSQL database by filling in connection details like host, port, database name, username, password, and SSL settings.
Ensures your connection string credentials are securely encrypted and decrypted only when necessary for data operations, maintaining the security and confidentiality of your information.
Provides a SQL execution interface where you can run SQL queries on your database and test them before creating a chatbot.
Allows you to create chatbots using data from your Google Sheets. You can select a spreadsheet and test the chatbot functionality.
Access to this feature is only available to users with Pro or higher plans.
Allows users to create chatbots using content from their Notion pages.
Utilize data sources that are only available to premium users (Pro or higher plans).
The platform allows you to create chatbots using content in various formats like text, HTML, markdown, or code. You can upload your content, and the tool will help generate a chatbot based on it.
Allows you to create chatbots by selecting URLs from your website, making it easy to build engagement tools based on the pages you manage.
Offers the ability to choose markdown format for handling content from different URLs, which helps in managing different types of content layouts.
Enables you to add or delete URLs which you want the chatbot to interact with, providing flexibility in managing content sources.
Allows users to create chatbots using their HubSpot data. Requires a private app access token and the selection of an object type.
Allows creation of chatbots that interact with your MySQL database by inputting host, port, database name, username, and password.
Connection string credentials are encrypted and only decrypted for necessary operations, ensuring security and confidentiality.
Provides options to view SQL in Encrypted format or as Data for effective data operations.
Provides step-by-step instructions to download and set up the .NET server for connecting your database. This includes downloading the server, pasting contents, replacing keys, and configuring the server URL and API key.
Allows you to connect to your private server database using DSN with ODBC. You can customize the connection string for secure access.
Enables you to execute SQL queries directly from the interface, with support for both encrypted SQL and data.
Create chatbots from your Snowflake database by connecting through your account, filling in necessary credentials like username, password, database, schema, application, warehouse, and role.
Ensures that the connection using credentials is securely encrypted to protect data operations and maintain confidentiality.
Allows users to execute SQL queries to fetch data and test its functionality before creating a chatbot.
Allows you to connect directly to your SQL Server database by entering host, port, database name, username, and password to create chatbots.
Ensures that your connection string credentials are securely encrypted, protecting the confidentiality of your information.
Once connected, you can test the SQL connection and create a chatbot based on your SQL Server database.
Convert your database into an API to interact with it effortlessly.
Use natural language to chat with your database using DataLang’s API or a custom GPT.