Lilac
To be verifiedLilac 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.
Open-source tool for data and AI practitioners to improve data quality for LLMs.
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What is Lilac?
Open-source tool for data and AI practitioners to improve data quality for LLMs.
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.
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
Popular Use Cases
- Data exploration and quality control
- Evaluating datasets
- Democratizing data across an organization
- Understanding concepts in datasets
- Selecting the right data for a task
- Determining topics covered in datasets
Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
- To get started with Lilac
- install it using pip: `pip install lilac`. Then
- use the Python User Interface to interact with your data.
Pricing
Lilac uses a freemium pricing model. Pricing and features may change over time.
Free
$0
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Pro
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Team
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Enterprise
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Deal / Coupon
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Frequently Asked Questions
Verification
Tool status
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Source
Official website / Community submitted
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