Summary.arguflow.gg: Build better, faster, and more relevant search and RAG with Trieve's platform. Benefit from features like date recency biasing, re-ranker models, semantic search, sub-sentence highlighting, and document expansion in one self-hosted service.

AI Search Infrastructure: Language Models and Tools for Ranking Optimization

Introduction

What is Trieve?

Trieve is an AI search infrastructure that combines language models with tools for fine-tuning ranking and relevance. It offers an all-in-one infrastructure for building search, recommendations, and RAG.

How can I use Trieve for my application?

You can use Trieve to build AI-powered search and RAG into your applications. With Trieve, you can focus on building your unique features while Trieve handles search and RAG.

Features of Trieve

Private Managed Embedding models

Bring your own embedding model or use one of our available open-source hosted defaults.

SPLADE full-text neural search

SPLADE is a state-of-the-art retrieval model for full-text search.

Semantic Vector Search

Trieve supports semantic vector search out of the box.

Hybrid Search

Get the best of both worlds with hybrid search, combining full-text search and semantic vector search with cross-encoder re-ranker models.

Merchandising Relevance tuning

Boost search results based on sales or popularity to show users what you know works.

Date Recency Biasing

Relevance tuning is not just about the query. Trieve supports date recency biasing to ensure the most recent results are shown first.

Pricing of Trieve

Get an industry-leading search UX setup in hours. Contact us to learn more about our pricing plans.

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