Trieve is an AI-first infrastructure API designed to enhance search, recommendations, and retrieval-augmented generation (RAG) within applications. By integrating advanced language models with tools for fine-tuning ranking and relevance, Trieve enables developers to build more efficient and accurate search experiences. Its modular infrastructure supports semantic vector search, full-text search with BM25 and SPLADE models, and hybrid search combining both methods. This flexibility allows for tailored solutions that meet specific application needs.
Beyond search capabilities, Trieve offers features like sub-sentence highlighting, merchandising and relevance tuning, and support for both stock and custom embedding models. The platform is self-hostable, ensuring data privacy and control, and includes tools for managing ingestion, embeddings, and analytics with ease. With a focus on delivering relevant results out of the box and continuous improvement based on user feedback, Trieve streamlines the development of AI-driven search and recommendation systems.
