Lilac is an open-source tool designed to enhance data quality and improve AI product functionality through effective data management.
Lilac is a powerful open-source solution that assists data and AI professionals in refining their products by significantly improving the quality of their data. By leveraging various features, users can execute tasks such as searching, editing, and comparing data fields. The tool comes with a Python UI and command-line interface, supports AI clustering, semantic and keyword searches, and provides robust quality assurance capabilities including PII detection and duplicate identification. With Lilac, practitioners can ensure they are using the most relevant and high-quality data in their AI applications, thus optimizing performance and outcomes.
Lilac helps improve data quality for AI applications by enabling data exploration, editing, and analyzing using advanced search capabilities.
You can install Lilac by executing 'pip install lilac' in your command line after ensuring you have Python installed.
Core features include the ability to search, quantify, and edit data, perform AI clustering, and conduct semantic and fuzzy concept searches.
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