Unlock the Power of Natural Language Queries

QAnswer's Text2SPARQL breaks down barriers to linked data exploration. Using natural language, you can confidently formulate queries, uncover relationships, and extract insights from SPARQL datasets
Core Text2Sparql functionalities
Anyone Can Query

Enable users to create SPARQL queries without coding, leveraging natural language input

Democratizing Data Access

Provide universal access to complex datasets through simplified, intuitive query systems

Intuitive Exploration

Facilitate the discovery of linked data relationships using advanced natural language processing

Simplifying Interaction with SPARQL Endpoints

QAnswer's Text2Sparql provides a streamlined way to interact with SPARQL endpoints. Users can submit queries expressed in natural language, which are then automatically converted into equivalent SPARQL expressions, facilitating efficient data retrieval from linked data repositories.

Enabling Precise Data Extraction from Linked Data Graphs

Text2Sparql leverages natural language processing to interpret user requests and construct accurate SPARQL queries. By discerning the intended meaning behind the input, the system targets relevant entities, relationships, and properties within the linked data graph, resulting in precise data extraction.

Scalable AI for Any Environment

Our solution can be deployed on-premise, in the cloud, or in a hybrid configuration, depending on your needs. It offers strong data security, GDPR compliance, and multilingual support, evolving over time to deliver better and more precise answers

Integrated AI Across Your Data Ecosystem

QAnswer can connect to a variety of platforms, including SharePoint, Google Drive, Microsoft OneNote, Website, and others. It works with your existing infrastructure to pull data from these sources, and deliver precise, context-aware responses based on your existing data.

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