Lilac
A Python tool for searching, cleaning, and quantifying datasets before training an LLM.
At a glance
Starts at
Free
The vendor's site is offline, so no current price was found.
Free tier
Yes
Platforms
Web
Best for
ML teams cleaning data before training
Not for
Teams wanting a no-code, install-free tool
3.9 out of 5
Scored by a Toolio reviewer after real useOur verdict
Lilac is a Python tool, installed via pip, for searching, quantifying, and editing large datasets before they go into an LLM, with built-in PII and duplicate detection and semantic search. Its faster hosted compute tier, Lilac Garden, is still waitlisted rather than generally available. It's aimed at data and ML practitioners comfortable working in Python, not teams wanting a fully no-code interface.
✓What it does well
Semantic and keyword searchIt supports both semantic and keyword search across a dataset.
Built-in data checksIt flags PII, duplicates, and language automatically, or lets you add a custom signal.
Fast large-scale processingIts Garden tier can cluster a million data points in about 20 minutes.
✕Where it falls short
Garden tier is waitlistedThe faster Lilac Garden compute tier is still waitlisted, not generally available yet.
Python install requiredIt requires a pip install and comfort working in Python, not a no-code UI.
Built for practitionersIt's aimed at data and ML practitioners rather than non-technical business users.
Key features
Semantic searchIt lets you search a dataset semantically, not just by keyword.
PII and duplicate detectionIt automatically flags PII, duplicate records, and language per entry.
Data clusteringIt clusters and titles large numbers of data points quickly.
Field editingYou can edit and compare fields directly within a dataset.