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Introduction:
Open-source tool for data and AI practitioners to improve data quality for LLMs.
Added on:
Feb 03 2024
Monthly Visitors:
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Social & Email:
197 users
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. It allows users to search, quantify, and edit data for LLMs. Lilac provides features like semantic and keyword search, editing and comparing fields, PII detection, duplicate identification, language detection, custom signal integration, and fuzzy-concept search with refinement.

How to use Lilac?

To get started with Lilac, install it using pip: `pip install lilac`. Then, use the Python User Interface to interact with your data.

Lilac's Core Features

Semantic & keyword search

Edit & compare fields

PII, duplicates, language detection, or custom signal

Fuzzy-concept search with refinement

Blazing fast dataset computations

Clustering and titling of large datasets

Embedding datasets at high token rates

Accelerating data transformations

Lilac's Use Cases

#1

Data exploration and quality control

#2

Evaluating datasets

#3

Democratizing data across an organization

#4

Understanding concepts in datasets

#5

Selecting the right data for a task

#6

Determining topics covered in datasets

FAQ from Lilac

What is Lilac?

How do I install Lilac?

What are some of the core features of Lilac?

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Analytic of Lilac

Lilac Website Traffic Analysis

Visit Over Time

Monthly Visits
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Avg.Visit Duration
00:01:03
Page per Visit
1.04
Bounce Rate
85.71%
Oct 2023 - Jun 2026 All Traffic

Lilac Discord Users Analysis

Latest user counts

197

Social Listening

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