Balancing Performance and Cost: A Guide to Optimizing Node Size in Vespa

Achieving the perfect balance between cost, performance, and quality is a complex, ongoing process that requires more than just identifying problem areas. It demands continuous improvement, informed decision-making, and the ability to adapt quickly to new demands. Vespa simplifies this journey, providing the tools and insights needed to optimize systems, ensure stable deployments, and keep operations running smoothly—all while freeing teams to focus on innovation.

This ebook explores how Vespa helps organizations navigate the complexities of system optimization, scale resources effectively, and achieve their business goals without compromising the end-user experience.

Elasticsearch vs Vespa Resource Page

Discover how Vespa.ai outperforms Elasticsearch in speed, scalability, and cost-efficiency—delivering up to 12.9x faster vector search and 5x lower infrastructure costs. This resource page provides key materials to help you move beyond Elasticsearch’s complexity and cost constraints with a more efficient alternative. Explore a reproducible benchmark report comparing Vespa and Elasticsearch for an e-commerce search application with 1 million products. Learn from Vinted’s customer story about their migration from Elasticsearch to Vespa. Dive into a detailed guide on high-performance data management with Vespa, and access a migration brief outlining a clear roadmap to modernizing enterprise search. This page is continuously updated with new insights and resources.

Scaling Smarter: Vespa’s Approach to High-Performance Data Management

Businesses today have use cases that require low latency in combination with seamless scaling, zero downtime, and cost optimization without overburdening engineers. This ebook explores how Vespa’s advanced architecture optimizes data storage, processing, and performance at scale.

Manager’s Guide: Enabling Generative AI Enterprise Deployment with Retrieval Augmented Generation (RAG)

This management guide outlines how businesses can deploy generative AI effectively, focusing on Retrieval-Augmented Generation (RAG) to integrate private data for tailored, context-rich responses. It explains key principles, including retrieval, generation, embedding, and hybrid search, highlighting their role in improving relevance and efficiency. The guide addresses latency, cost, scalability, and security challenges, offering optimization strategies and governance best practices. It proposes a phased approach to adoption, providing actionable steps for successfully integrating RAG and generative AI into business operations.

Benchmark Summary: Elasticsearch VS Vespa Performance Comparison

In November 2024, Vespa Engineering conducted an in-depth benchmark comparison of Elasticsearch and Vespa. The key findings of this benchmark are presented in this 6-page report. The full 84-page report is available in the next panel below.

Benchmark Full Report: Elasticsearch vs Vespa Performance Comparison

In November 2024, Vespa Engineering conducted an in-depth benchmark comparison of Elasticsearch and Vespa, presented in this comprehensive 84-page report. The report details the methodology used to ensure a fair and thorough evaluation, provides an in-depth analysis of both products’ architectures, and concludes with step-by-step instructions for reproducing the benchmark in your own environment. This ensures both transparency and practical insights for your assessment.

Manager’s Guide: Simplifying AI Application Development and Deployment in Fintech with Vespa.ai

Discover how GenAI and traditional ML are transforming fintech and banking, driving growth, efficiency, and customer loyalty. From personalized insights and fraud alerts in fintech to streamlined compliance, risk management, and credit scoring in traditional banking, these technologies are reshaping the industry. Learn how Vespa enables the seamless development and deployment of AI applications, empowering enterprises to harness automation, enhance decision-making, and boost productivity.

Vespa Cloud Security Whitepaper

Vespa.ai ensures enterprise-grade security with features including role-based access control, secure data encryption at rest and in transit, and fine-grained query permissions to protect sensitive data. This document describes the Vespa Cloud service security features and operational procedures.