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LanceDB

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A multimodal lakehouse for AI data, features, search, retrieval, and model training.

Site Internet :https://lancedb.com/
Ajouté :13 juil. 2026
Visiteurs mensuels :
73.2K
Réseaux sociaux et e-mail :
AI dataMultimodal dataData lakehouseData curationFeature engineeringVector search
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Informations sur l’outil

Qu'est-ce que LanceDB ?

LanceDB is a multimodal lakehouse for managing and processing AI training data, features, and production retrieval workloads. It supports data curation, feature engineering, unified search and retrieval, and model training at large scale.

Fonctionnalités principales

  • Multimodal data lakehouse

    Manage multimodal AI data and large-scale workloads in a lakehouse designed for data curation, feature engineering, search, retrieval, and training.

  • Data curation

    Find optimal data distributions, deduplicate massive datasets, and surface edge cases.

  • Feature engineering

    Build and scale features with Python UDFs, automatic updates, and no table rewrites.

  • Unified search and retrieval

    Use vector, full-text, and hybrid search with SQL filters for production retrieval workloads.

  • AI model training

    Train models directly from curated data without data movement bottlenecks.

Cas d'utilisation

  • #1

    Dataset curation

    Find optimal data distributions, deduplicate large datasets, and identify edge cases.

  • #2

    Feature engineering

    Build and scale features for AI workflows using Python UDFs and automatic updates.

  • #3

    Search and retrieval

    Apply vector, full-text, and hybrid search with SQL filters for production retrieval applications.

  • #4

    Model training

    Train models directly from curated data.

Idéal pour :AI teamsMachine learning teamsModel developersData teams

Plans tarifaires

Pricing is not clearly published in the provided official-source facts.

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Foire aux questions

What is LanceDB?
LanceDB is a multimodal lakehouse for AI that helps teams manage and process training data, features, and production retrieval workloads.
What can LanceDB be used for?
LanceDB can be used for dataset curation, feature engineering, search and retrieval, and model training.
What search methods does LanceDB support?
LanceDB supports vector, full-text, and hybrid search, along with SQL filters for production retrieval.
Does LanceDB support multimodal data?
Yes. LanceDB is described in the provided facts as a multimodal data lakehouse for AI.
What programming support is mentioned for feature engineering?
The provided facts mention Python UDFs, automatic updates, and feature scaling without table rewrites.
How can I contact LanceDB?
You can contact LanceDB through support@lancedb.com or its official contact page at https://www.lancedb.com/contact.
What is LanceDB's pricing?
Pricing is not clearly published in the provided official-source facts.

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Informations sur l’outil

Modèle tarifaireUnknown
CatégorieAnalyse de données
Tags
AI dataMultimodal dataData lakehouseData curationFeature engineeringVector search
LangueAnglais
Dernière mise à jour18 juil. 2026
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