Trieve

Search optimization

Infrastructure for building AI search into your applications

Trieve screenshot

About Trieve

Trieve is a cutting-edge AI search platform designed to enhance search performance by delivering more accurate and quicker results. Utilizing advanced language models and versatile tools for fine-tuning ranking and relevance, Trieve is at the forefront of search infrastructure innovation.

Key features of Trieve include the ability to conduct semantic and full-text searches that leverage both dense and sparse vectors. The inclusion of a cross-encoder re-ranker model further refines search outcomes, ensuring optimal precision.

For user-centric results, Trieve offers a ranking function that enables biasing based on data recency, as well as features like document expansion and sub-sentence highlighting. Users also have the flexibility to incorporate their own embedding model or select from a range of open-source models hosted by Trieve.

Enhancing efficiency, Trieve supports hybrid searches that seamlessly integrate full-text and semantic vector searches with cross-encoder re-ranker models. Moreover, it provides private managed embedding models and features such as semantic vector search and recency biasing to elevate search performance.

Additionally, Trieve caters to specific requirements like duplicate detection and merging, personalized recommendations based on user history and content similarity, message history management, and more. Designed for user-hosting to prioritize data privacy and vendor agreements, Trieve ensures seamless integration with API usage and comprehensive documentation.

With its robust features and customizable nature, Trieve is a versatile and powerful tool for integrating AI-driven search capabilities into applications seamlessly.

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