LanceDB
UnknownA multimodal lakehouse for AI data, features, search, retrieval, and model training.
Информация об инструменте
Что такое 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.
Основные функции
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.
Варианты использования
- #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.
Тарифные планы
Pricing is not clearly published in the provided official-source facts.
Альтернативы
Часто задаваемые вопросы
What is LanceDB?
What can LanceDB be used for?
What search methods does LanceDB support?
Does LanceDB support multimodal data?
What programming support is mentioned for feature engineering?
How can I contact LanceDB?
What is LanceDB's pricing?
LanceDB Контакты и социальные сети
- Электронная почта службы поддержки
- Поддержка
- Веб-сайт:
- Twitter
- YouTube
- LinkedIn
- GitHub
- Discord
Отзывы
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