Trieve: AI-Powered Search Infrastructure

Trieve provides a robust AI search infrastructure designed to enhance application search functionality. It seamlessly combines powerful search language models with sophisticated tools for optimizing ranking and relevance, allowing developers to focus on building unique application features.

Key Features

• Hybrid Search: Combines full-text search (using the SPLADE retrieval model) and semantic vector search for superior accuracy. Re-ranker models further refine results.
• Merchandising Relevance Tuning: Boost search results based on crucial attributes like sales or popularity, maximizing business impact.
• Advanced Capabilities: Includes date recency biasing, sub-sentence highlighting, and duplicate content handling for improved knowledge management.
• Flexible Model Management: Supports private managed embedding models and allows hosting of open-source models on Trieve's servers.
• Data Security: Enables users to securely host sensitive data on the Trieve platform, ensuring data protection.
• Versatile Functionality: Facilitates the development of search, recommendation, and Retrieval Augmented Generation (RAG) features.

Benefits

• Rapid Deployment: Quickly set up an industry-leading search UX by integrating existing data and API.
• Enhanced Relevance: Achieve superior search accuracy and improved user experience through hybrid search and re-ranking.
• Data Control: Maintain complete control over your data by hosting it securely on your own infrastructure.
• Focus on Innovation: Leverage Trieve's infrastructure to focus development efforts on unique application features instead of core search functionality.

Use Cases

Trieve is ideal for applications requiring powerful and customizable search capabilities, including e-commerce platforms, knowledge management systems, and question-answering applications.

Trieve empowers developers to build exceptional search experiences by providing a comprehensive and flexible AI-powered search infrastructure.