Lilac
Open-source tool for improving data quality and AI products.
data explorationAI practitionersdata quality
Introduction
Lilac is an open-source tool that enables data and AI practitioners to improve their products by improving their data.
Key Features
Search, quantify, and edit data for LLMs
AI Clustering
Semantic & keyword search
Edit & compare fields
PII, duplicates, language detection, or custom signal
Fuzzy-concept search with refinement
Frequently Asked Questions
What is Lilac?
How to use Lilac?
What can Lilac help with?
How do I install Lilac?
What are the core features of Lilac?
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Use Cases
- Data exploration and quality control
- Selecting the right data for a task
How to Use
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.