DataLang

Custom Chatbots from your Data

Freemium

Description

DataLang is a platform designed to simplify the creation of custom AI chatbots from a user's existing data. It supports a wide array of data connections, including SQL databases such as PostgreSQL and MySQL, various file types, HTML content, Notion pages, and Google Sheets. Users can also connect to platforms like HubSpot, Snowflake, and utilize DSN with ODBC or direct API integrations.

The process involves setting up data sources, defining specific data views to expose information, and then training a GPT model with this selected data. Once built, DataLang offers multiple ways to share these chatbots: through a public URL, by embedding a widget on a website, by publishing to the ChatGPT Store, or by allowing interactions via an API. This makes complex data more accessible and actionable through a conversational interface.

Key Features

Multiple Data Source Connectivity: Integrates with SQL databases (PostgreSQL, MySQL, SQL Server, MariaDB, Oracle, Amazon Redshift, SQLite), Files, HTML, Notion, Google Sheets, HubSpot, DSN with ODBC, and APIs.
Custom Chatbot Creation: Configure personalized chatbots based on your connected data sources and specific data views.
Versatile Sharing Options: Share chatbots via public URL, embed as a website widget, publish to the ChatGPT Store, or integrate using an API.
Conversational Data Interaction: Allows users to chat directly with their data, asking questions and receiving insights in natural language.
GPT Store Publishing: Streamlines the process of creating and publishing custom GPTs trained on your data to the ChatGPT Store.
Data View Configuration: Expose data from specific sources to be used for training the chatbot.

Use Cases

Building custom AI assistants for data retrieval and analysis from multiple sources.
Embedding intelligent chatbots on websites for customer support or information dissemination.
Creating and publishing specialized GPTs to the ChatGPT Store based on proprietary data.
Providing non-technical users with an intuitive conversational interface to access and query complex datasets.
Automating responses to data-related inquiries through a custom-trained chatbot.