Lilac
A dataset inspection tool that surfaces PII, duplicates, and bias 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
Data teams auditing datasets before training
Not for
Teams wanting a fully hosted, no-install product
3.9 out of 5
Scored by a Toolio reviewer after real useOur verdict
Teams building LLMs use Lilac to dig through a dataset - clustering similar entries, flagging PII and duplicates, and running semantic search - before deciding what actually goes into training. It ships as a pip-installable Python package with a UI on top rather than a hosted SaaS product. Its faster Garden tier for large-scale computation is still in a waitlist stage, not yet open to everyone.
✓What it does well
Dataset auditingIt surfaces PII, duplicates, and language issues across a dataset automatically.
Concept-level searchFuzzy-concept search lets you refine a query beyond exact keyword matches.
Trusted by ML teamsData leads at companies like Databricks and NousResearch cite it for dataset quality work.
✕Where it falls short
Waitlisted fast tierThe high-speed Garden computation tier is still waitlisted, not available to every user.
Local install neededIt requires a pip install rather than working as a hosted, no-setup product.
Practitioner-orientedIt's built for people comfortable in Python and dataset tooling, not casual users.
Key features
Duplicate and PII detectionIt automatically detects PII, duplicate entries, and language per record.
Semantic searchIt supports semantic search alongside standard keyword search.
Dataset clusteringIt clusters and titles large groups of data points for review.
Field comparisonIt lets you edit and compare fields side by side within a dataset.