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Verdict

A quick read before you dig into the full page.

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Open-source tool for data and AI practitioners to improve data quality for LLMs
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Open-source tool for data and AI practitioners to improve data quality for LLMs

Overview

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.

Lilac screenshot

Access & connections

Where you can use Lilac.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • 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

FAQ 5

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.
What is Lilac?
Lilac is an open-source tool that helps data and AI practitioners improve their products by improving their data.
How do I install Lilac?
You can install Lilac using pip: `pip install lilac`.
What are some of the core features of Lilac?
Lilac offers 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.
Lilac
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