In the digital era, the management and retrieval of unstructured data like text, images, audio, and video present significant challenges. TRS Hybase Search Database System(TRS Hybase or Hybase for short), developed by TRS Corporation is a powerful distributed search and analytics engine. It excels in indexing and searching large volumes of data in real-time, making it a popular choice for various use cases across industries. It supports nearly all types of data, including text, numerical, geographical, and image data, enabling search across various structured, semi-structured, and unstructured data formats.Its distributed nature, scalability, and flexibility make it an indispensable tool for modern data-driven applications.
Hybase provides robust full-text search capabilities, including support for complex queries, aggregations, and relevance scoring, making it ideal for search-driven applications.
Hybase provides robust full-text search capabilities, including support for complex queries, aggregations, and relevance scoring, making it ideal for search-driven applications.
Hybase provides fast Approximate Nearest Neighbor Search(ANNS) for dense vector, which is widely used in semanticsearch, multi-modal search and cross-modal search.
Hybase provides fast Approximate Nearest Neighbor Search(ANNS) for dense vector, which is widely used in semanticsearch, multi-modal search and cross-modal search.
With its real-time indexing and search capabilities,hybase empowers users to analyze data as it flows into the system, facilitating timely insights and decision-making.
With its real-time indexing and search capabilities,hybase empowers users to analyze data as it flows into the system, facilitating timely insights and decision-making.
Hybase ensures data resilience and fault tolerance through features like data replication, automatic data rebalancing, and cluster state management.
Hybase ensures data resilience and fault tolerance through features like data replication, automatic data rebalancing, and cluster state management.
Employing advanced data encryption algorithms, the database guarantees data integrity and confidentiality.
Employing advanced data encryption algorithms, the database guarantees data integrity and confidentiality.
Multi-language support: Supporting multilingual text analyzer to enhance indexing and retrieval accuracy.
Inverted Index: Enabling fast text retrieval through efficient data compression techniques.
Relevance Ranking: Utilizing information retrieval models like BM25 and TFIDF to calculate query-document relevance.
Vector Index: Employing the Hierarchical Navigable Small World graphs(HNSW) index structure for efficient retrieval of vector data through Approximate Nearest Neighbor Search (ANNS).