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Hybrid SearchSingleStore

Unified vector and full-text search for real-time AI and analytics applications.

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Product details

Overview

SingleStore Search is a unified, real-time hybrid search platform designed to handle both full-text and vector-based search queries. Built on the SingleStore database, it enables developers to perform semantic and keyword-based searches within a single SQL interface. This integration simplifies the tech stack by eliminating the need for separate search engines, offering a seamless experience for applications requiring fast and accurate search capabilities.

Features and Capabilities

  • Hybrid Search Support: Combines full-text search and vector search within a single platform, allowing for both exact and semantic search queries.
  • Real-Time Search: Provides low-latency search responses, suitable for applications requiring immediate search results.
  • SQL Interface: Utilizes a SQL-based interface for search queries, making it accessible for developers familiar with SQL.
  • Scalability: Designed to scale horizontally, accommodating growing data and increasing search demands.
  • Integration with AI Workflows: Supports vector embeddings, enabling integration with AI and machine learning workflows for advanced search capabilities.
  • Advanced Search Features: Offers fuzzy search, proximity search, and regex search, enhancing the flexibility and accuracy of search results.