Lilac Q&A
What is Lilac?
Lilac is an open-source tool that enables data and AI practitioners to improve their products by improving their data.
How to use Lilac?
To use Lilac, you can start by installing it with pip install lilac. Once installed, you can use the Python UI or command-line interface to search, quantify, edit, and compare data fields. Lilac also provides features such as clustering, semantic & keyword search, fuzzy-concept search, and detecting PII, duplicates, language, or custom signals.
What can Lilac help with?
Lilac can help data and AI practitioners improve their products by enabling them to search, quantify, edit, and compare data fields. It also provides features for clustering, semantic & keyword search, and detecting PII, duplicates, language, or custom signals.
How do I install Lilac?
You can install Lilac by running 'pip install lilac'.
What are the core features of Lilac?
The core features of Lilac include search, quantify, and edit data for LLMs; AI Clustering; Semantic & keyword search; Edit & compare fields; PII, duplicates, language detection, or custom signal detection; and Fuzzy-concept search with refinement.
Lilac's Core Features
Lilac's Use Cases
Lilac Traffic
Monthly Visits: 22.1K
Avg.Visit Duration: 00:03:48
Page per Visit: 0.94
Bounce Rate: 41.71%
Oct 2023 - Mar 2024 All Traffic
Geography
Top 5 Regions United States: 31.76%
Indonesia: 5.33%
Paraguay: 4.80%
Zimbabwe: 4.34%
Peru: 3.42%
Oct 2023 - Mar 2024 Desktop Only
Traffic Sources
Search: 52.59%
Direct: 40.27%
Social: 3.86%
Referrals: 3.27%
Mail: 0.00%
Display Ads: 0.00%
Lilac Categories: AI Analytics Assistant