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Introduction:
Open-source tool for improving data quality and AI products.
Added on:
2025-01-13
Monthly Visitors:
webTraffic 1.6K
Social & Email:
URL:
Lilac Product Information

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.

Lilac's Core 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

Lilac's Use Cases

  • #1 Data exploration and quality control
  • #2 Selecting the right data for a task

FAQ from Lilac

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 Discord
Here is the Lilac Discord: https://discord.com/invite/jNzw9mC8pp. For more Discord message, please click here(/discord/jnzw9mc8pp).
Lilac Company
Lilac Company name: Lilac .
More about Lilac, Please visit the about us page(https://www.lilacml.com/about).
Lilac Twitter
Lilac Twitter Link: https://twitter.com/lilac_ai
Lilac Github
Lilac Github Link: https://github.com/lilacai/lilac

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Lilac Analytic

Lilac Website Traffic Analysis

Visit Over Time

  • Monthly Visits 1.6K
  • Avg.Visit Duration 18.59
  • Page per Visit 1.65
  • Bounce Rate 45%

Jan 2024-Apr 2025 All Traffic

Geography

Top 5 Regions
  • flag India 317
  • flag Vietnam 66
  • flag United States 1248

Jan 2024-Apr 2025 Desktop Only

Traffic Sources

  • Mail 0
  • Direct 746
  • Search 551
  • Social 213
  • Referrals 103
  • PaidReferrals 15

Jan 2024-Apr 2025 Desktop Only

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