Lilac - Better data, better AI - Search, quantify and edit data for LLMs

Lilac Better data, better AI - Search, quantify and edit data for LLMs

Contact for Pricing

#dataset management
#clustering
#Semantic Search
#data processing
#LLM data
#data quality

What is Lilac?

Lilac is a comprehensive data platform designed specifically for Large Language Model (LLM) datasets. The platform provides powerful tools for data exploration, quality control, and dataset management, capable of processing and clustering up to 1 million data points in just 20 minutes and embedding datasets at impressive speeds of half a billion tokens per minute.

The platform stands out for its efficient dataset computations and advanced features including semantic search, clustering, field editing, and automated detection of PII, duplicates, and language. It serves as a critical tool for organizations seeking to improve their data quality evaluation pipeline and understand complex dataset concepts.

Features

High-Speed Processing: Cluster and title 1 million data points in 20 minutes
Token Processing: Embed datasets at half a billion tokens per minute
Semantic Search: Advanced keyword and concept-based search capabilities
Automated Detection: PII, duplicates, and language detection functionality
Dataset Management: Edit and compare fields across datasets
Clustering Analysis: Advanced clustering capabilities with automated titling

Use Cases

Dataset quality evaluation
Large-scale data processing
Data exploration and analysis
Organization-wide data democratization
LLM dataset preparation
Data quality control

FAQs

How fast can Lilac process large datasets?

Lilac can cluster and title 1 million data points in 20 minutes and embed datasets at half a billion tokens per minute.
How do I install Lilac?

Lilac can be installed using pip with the command: pip install lilac