AI-Ready Data

Singdata Lakehouse provides a unified platform for every stage of AI development, including data services for AI applications. Through seamless integration with SQL queries, users can easily combine vector search, full-text search, and structured data analysis to achieve richer data insights.

Vector Search:

Singdata Lakehouse AI Vector Search is a vector index optimized for storing and retrieving vector embeddings. Vector embeddings are essential for applications requiring similarity search, such as RAG (Retrieval-Augmented Generation), recommendation systems, and image recognition.

Full-Text Search:

Lakehouse Full-Text Search is based on high-performance inverted index technology, providing millisecond-level search capabilities for massive text data. It supports fast full-text search on documents, logs, comments, and other text content, and provides advanced features such as tokenization and relevance ranking.

The system supports mixed Chinese and English search, with built-in analyzers (such as Chinese tokenizer, English tokenizer, keyword analyzer, etc.), allowing optimal text processing strategies for different scenarios.