Launching our new state-of-the-art Vertex AI Ranking API | Google ...
Users today are issuing more complex queries and demanding pinpoint results, with an 82% chance of losing a customer if they cannot quickly find what they need. Traditional search methods often deliver noise, with up to 70% of retrieved passages lacking a true answer. This leads to untrustworthy and unreliable results in both agentic workflows and user experiences.
To address these rising expectations, we are thrilled to announce the launch of our new state-of-the-art Vertex AI Ranking API. This API simplifies the process of enhancing the precision of information surfaced within search, agentic workflows, and retrieval-augmented generation (RAG) systems. With this new API, you can elevate your legacy search system and AI application in minutes, rather than months.
As businesses strive to meet the demands of users in the AI era, precise ranking is essential. The Vertex AI Ranking API acts as a precision filter at the final stage of the retrieval pipeline, intelligently identifying and elevating the most relevant information. This crucial step unlocks higher quality, more trustworthy, and more efficient AI applications.
Features of Vertex AI Ranking API:
Upgrade legacy search systems: Easily enhance existing search outputs with state-of-the-art relevance scoring, improving user satisfaction and business outcomes without the need for a complete overhaul of your current stack.
Strengthen RAG systems: Send fewer but more relevant documents to your generative models, improving the trustworthiness of answers while reducing latency and operating costs.
Support intelligent agents: Provide AI agents with highly relevant information, streamlining their context and traces to significantly enhance task completion rates.
The Vertex AI Ranking API offers industry-leading low latency, setting new benchmarks for ranking performance. The API is designed for seamless integration, allowing for straightforward implementation into existing systems. Businesses can benefit from the enhanced quality of search results across various high-value domains such as retail, news, finance, and healthcare.
Integration Options:
Try it live: Experience the difference on real-world data by enabling the Ranking API in the interactive Vertex Vector Search demo.
Build with Vertex AI: Integrate the API directly into any existing system for maximum flexibility.
Enable it in RAG Engine: Select the Ranking API in your RAG Engine for more robust and accurate answers from generative AI applications.
Use it in AlloyDB: Simplify search use cases with AlloyDB using the built-in ai.rank() SQL function directly.
AI Frameworks: Leverage native integrations with popular AI frameworks like GenKit and LangChain.
Use it in Elasticsearch: Boost accuracy quickly with the built-in Ranking API integration in Elasticsearch.
