Trieve
AI-first infrastructure API for advanced search, recommendations, and Retrieval Augmented Generation (RAG) with hybrid semantic and full-text capabilities.
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Product Overview
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
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