LanceDB

Get started

Discover more

Tomorrow's AI is built on LanceDB today

Storage

Search

Feature Engineering

Analytics

Training

The new columnar standard for multimodal data

Fast scans and random access. Large blob storage. Zero-copy fine-grained data-evolution at petabyte scale

table.add_columns({
  "title_frame": extract_key_frame("video", 0),
  "description": img2txt("title_frame"),
  "embedding": embed("description")
})

Advanced retrieval for AI

Blazing fast hybrid search, filter, and rerank over billions of vectors. Compute-storage separation for up to 100x savings.

(table.search("flying cars", query_type="hybrid")
  .where("date > '2025-01-01'")
  .reranker("cross_encoder_tuned")
  .select(["id"]).limit(10)
  .to_pandas())

Automated feature engineering

Declarative, distributed and versioned pre-processing for faster feature experimentation and iteration cycles. Native support for LLM-as-UDF.

ds = lance.dataset("s3://bucket/path.lance")
@lance.batch_udf()
def multiply_by_two(x: pa.RecordBatch) -> pa.RecordBatch:
    return pa.RecordBatch.from_arrays(
        [pc.multiply(x["id"], 2)], ["two"]
    )
ds.add_columns(multiply_by_two)

Explore, curate, and analyze with ease

High performance SQL for multimodal data.

db.sql("SELECT decode('audio_track', 'wav') "
       "FROM table WHERE id in ('1', '5', '324')")

Optimized training pipelines

Faster dataloading, global shuffling, and integrated filters for large scale training using pytorch or JAX.

for batch in DataLoader(table.where("video_height>=720").shuffle()):
  inputs, targets = batch["description"], batch["title_frame"]
  outputs = model(inputs)
  ...

Create your first project

For Developers

01

Connect to LanceDB

Get started in seconds with a simple install and intuitive interface

02

Ingest Data

Grow your project to petabyte scale without worrying about infrastructure

03

Ship, Rinse, and Repeat

Streamline your workflow and focus on high-value experimentation

Try LanceDB Cloud

For Enterprises

01

Choose Deployment Model

Unlock the value in your sales calls, decks, contracts, and more

02

Data Lake Compatible

Keep you data private and secure. Works with your existing data lake

03

Build and Scale

Unlock massive scalability and unmatched price-performance

Contact Sales

20,000

+

Highest search QPS on a single table

100

x

Massive scalability at a fraction of the cost

20

PB

Largest table under management

SOC2 Type II

GDPR

HIPAA

"Lance has been a significant enabler for our multimodal data workflows. Its performance and feature set offer a dramatic step up from legacy formats like WebDataset and Parquet. Using Lance has freed up considerable time and energy for our team, allowing us to iterate faster and focus more on research."

Keunhong Park

,

Member of Technical Staff

"Law firms, professional service providers, and enterprises rely on Harvey to process a large number of complex documents in a scalable and secure manner. LanceDB’s search/retrieval infrastructure has been instrumental in helping us meet those demands."

Gabriel Pereyra

,

Co-Founder

"Lance transformed our model training pipeline at Runway. The ability to append columns without rewriting entire datasets, combined with fast random access and multimodal support, lets us iterate on AI models faster than ever. For a company building cutting-edge generative AI, that speed of iteration is everything."