LanceDB
UnknownA multimodal lakehouse for AI data, features, search, retrieval, and model training.
工具信息
什么是 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.
核心功能
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.
使用场景
- #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.
定价方案
Pricing is not clearly published in the provided official-source facts.
替代工具
常见问题
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 联系方式与社交媒体
- 支持邮箱
- 支持
- 网站：
- Twitter
- YouTube
- LinkedIn
- GitHub
- Discord