Trieve provides an API for semantic vector search, full-text search, and recommendations, enabling businesses to implement scalable search and discovery solutions. The platform enhances user experience through automatic relevance tuning and analytics, allowing companies to efficiently manage and optimize their data retrieval processes.
Funding
$3.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Businesses often struggle to implement effective search and discovery solutions due to the complexities of managing data ingestion, relevance tuning, and scalability. Existing solutions can be difficult to integrate, require significant manual optimization, and may not fully leverage the power of AI.
Solution
Trieve provides an API-first platform that simplifies the implementation of AI-native search, recommendation, and Retrieval-Augmented Generation (RAG) capabilities. The platform offers a comprehensive solution for managing the entire search and discovery pipeline, from data ingestion and embedding generation to relevance tuning and analytics. Trieve supports semantic vector search, full-text search (BM25 & SPLADE), hybrid search, and both stock and custom embedding models. Its modular infrastructure allows for easy integration and customization, enabling businesses to build scalable and performant search experiences.
Target Audience
Trieve is designed for ecommerce businesses, website developers, and performance-critical application developers seeking to enhance user experience through AI-powered search and discovery.
Features
- Unified API for search, recommendations, RAG, and analytics
- Semantic vector search for understanding the meaning of queries
- BM25 & SPLADE full-text search for keyword-based retrieval
- Hybrid search combining semantic and full-text approaches
- Support for stock and custom embedding models
- Automatic relevance tuning based on user feedback signals
- Sub-sentence highlighting to pinpoint relevant information within search results
- Ability to add existing data via API or no-code dashboard
- Private open-source models for enhanced data security
- Self-hostable option for sensitive data and maximum performance