Trieve

What is Trieve?

Trieve is a comprehensive AI infrastructure platform designed to power modern search, recommendation, and RAG experiences at scale. It combines semantic vector search, full-text neural search, and hybrid search models with tools for relevance tuning and merchandising. Trieve supports private managed embeddings, custom embedding models, and cross-encoder re-rankers to deliver highly relevant and fast results. The platform is self-hostable and cloud-compatible, enabling enterprises to maintain data privacy and optimize performance. With an easy-to-integrate API and a no-code dashboard, Trieve empowers companies to build scalable, customizable discovery experiences across diverse datasets.

Key Features

• Hybrid Search

  Seamlessly combines semantic vector search with state-of-the-art full-text retrieval models like BM25 and SPLADE, enhanced by cross-encoder re-rankers for precision.

• Custom and Private Embeddings

  Supports loading of custom embedding models alongside private managed embeddings to tailor search relevance and maintain data confidentiality.

• Merchandising and Relevance Tuning

  Offers API and no-code tools to boost and fine-tune search results according to business KPIs and user intent.

• Scalable and Self-Hostable

  Designed for billion-scale search and recommendations, with flexible deployment options including Docker, AWS EKS, GCP GKE, and Terraform-based self-hosting.

• Comprehensive Data Management

  Manages ingestion, chunking, metadata, tagging, and grouping of datasets to optimize search, recommendation, and RAG workflows.

• Sub-sentence Highlighting

  Enhances user experience by pinpointing relevant information within long search results for faster comprehension.

Use Cases

• Enterprise Search : Enable organizations to implement scalable, precise search across large document repositories, improving information discovery and productivity.
• Recommendation Systems : Power personalized content and product recommendations based on semantic similarity and user behavior.
• Retrieval Augmented Generation (RAG) : Integrate advanced RAG capabilities to generate context-aware responses by combining search results with generative AI.
• E-commerce Merchandising : Optimize product search and ranking to drive conversions through relevance tuning and merchandising controls.
• Self-hosted AI Search Solutions : Organizations with strict data privacy requirements can deploy Trieve on-premises or in private clouds for full control.

FAQs