Launching our new state-of-the-art Vertex AI Ranking API

Go beyond simple retrieval

This is where precise ranking becomes essential. Think of the Vertex AI Ranking API as the precision filter at the crucial final stage of your retrieval pipeline. It intelligently sifts through the initial candidate set, identifying and elevating only the most pertinent information. This refinement step is key to unlocking higher quality, more trustworthy, and more efficient AI applications.

Vertex AI Ranking API acts as this powerful, yet easy-to-integrate, refinement layer. It takes the candidate list from your existing search or retrieval system and re-orders it based on deep semantic understanding, ensuring the best results rise to the top. Here’s how it helps you uplevel your systems:

1. Upgrade legacy search systems: Easily add state-of-the-art relevance scoring to existing search outputs, improving user satisfaction and business outcomes on commercial searches without overhauling your current stack.

2. Strengthen RAG systems: Send fewer, more relevant documents to your generative models. This improves answer trustworthiness while reducing latency and operating costs by optimizing context window usage.

3. Support intelligent agents: Guide AI agents with highly relevant information, streamlining their context and traces, and significantly improving the success rate of task completion.