Lilac

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AI ディレクトリ : AI Analytics Assistant, AI Knowledge Base, AI Knowledge Graph, AI Knowledge Management, Large Language Models (LLMs), Research Tool

Lilac Website screenshot

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

Data exploration and quality control

Selecting the right data for a task

FAQ from Lilac

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.

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