Natural Language Interaction Reinvents Data Access
MindsDB's Natural Language Processing (NLP) engine automates the conversion of business language to technical language. The technology is based on a deep learning semantic understanding model and supports the accurate conversion of colloquial requirements such as "show high-value customers in the last three months" into standard SQL queries. Key technological breakthroughs include:
- context-sensitive: Automatically recognizes domain terms and correlates data dictionaries
- grammar correction: Fault-tolerance mechanisms to deal with ambiguous expressions and non-standard terminology
- many rounds of dialogue: support for pursuing interactive refinement of query terms
In the healthcare data analytics scenario, researchers from non-technical backgrounds successfully completed 88% of routine analytics requests in natural language, with an accuracy rate of 92%. The platform's built-in Knowledge Graph assists in understanding entity relationships, making it possible to find out the medication patterns of heart disease patients and other complex queries.
This answer comes from the articleMindsDB: An Open Source Platform for Connecting Data from Multiple Sources and Querying with SQL and AIThe
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