Trieve

AI-powered search infrastructure for improved relevance, ranking, and recommendations in applications.
August 13, 2024
Web App, Other
Trieve Website

About Trieve

Trieve is an innovative AI-first API designed for businesses seeking enhanced search, recommendation, and RAG capabilities. With features like semantic vector search and data recency biasing, Trieve empowers users to build highly relevant search experiences seamlessly. Leverage Trieve to optimize your data discovery and insights.

Trieve offers flexible pricing plans to accommodate various needs. Each tier provides access to advanced search features, seamless integration options, and robust analytics capabilities. By upgrading, users unlock premium functionalities that enhance their search experience, making Trieve a valuable investment for businesses focused on relevancy.

Trieve boasts an intuitive user interface designed for seamless navigation. Its clean layout ensures users can quickly access features like search, recommendations, and analytics. With user-friendly dashboards and customizable settings, Trieve facilitates an efficient browsing experience while enhancing operational efficiency for businesses.

How Trieve works

To get started with Trieve, users first onboard by uploading their existing data through the no-code dashboard or API. After integration, users can easily utilize the API to conduct searches, generate recommendations, and analyze results. Trieve’s modular infrastructure ensures that businesses can scale efficiently, making complex search and RAG processes simple.

Key Features for Trieve

Semantic Vector Search

Trieve features a powerful semantic vector search that goes beyond traditional full-text search capabilities. This innovative function allows users to retrieve more relevant results by understanding the meaning behind queries, enabling enhanced data discovery and user satisfaction through accurate and timely search outputs.

Hybrid Search Capability

Trieve’s hybrid search combines full-text and semantic vector search, providing a versatile retrieval method. This key feature helps users optimize results based on varying needs, ensuring comprehensive and relevant information is easily accessible, ultimately improving search efficiency and user experience.

Custom Embedding Models

Trieve supports both stock and custom embedding models, allowing users to tailor their search capabilities. This feature enables businesses to leverage existing models or introduce their own, facilitating a customized search experience that meets specific organizational needs and enhances overall relevance in search outcomes.

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