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AI Automation

Streamline, optimize, and enhance business processes with the world’s most scalable AI platform.

Data-Driven Decision Making

The evolution of data-driven decision-making in enterprises has been transformative. What began with basic reporting and descriptive analytics has expanded into sophisticated AI and machine learning systems that predict outcomes, optimize operations, and personalize customer experiences in real-time. Today, businesses leverage vast amounts of structured and unstructured data to uncover insights that drive strategic decisions, automate workflows, and fuel innovation, enabling them to act faster and smarter than ever before.

AI is poised to transform businesses. From automating repetitive tasks to optimizing complex supply chains and enhancing customer relationships, AI’s potential is vast. However, the real challenge lies not in finding areas to deploy AI but in efficiently building, scaling, managing, and controlling AI systems across the enterprise. Achieving this while managing costs—without needing expensive specialized infrastructure—ensures AI becomes a real and practical option for gaining a competitive edge.

Vespa:
Turning GenAI Experiments into Enterprise Reality

Whether it’s an investment bank deploying AI to analyze billions of PDF documents and take swift action, or a retailer enhancing eCommerce search by allowing customers to express their fashion choices using their pictures, Vespa enables businesses to scale GenAI initiatives from pilot to full enterprise deployment.

 

Vespa.ai is a powerful platform for developing real-time search-based AI applications. Once built, these applications are deployed through Vespa’s large-scale, distributed architecture, which efficiently manages data, inference, and logic for applications handling large datasets and high concurrent query rates. Vespa delivers all the building blocks of an AI application, including vector database, hybrid search, retrieval augmented generation (RAG), natural language processing (NLP), machine learning, and support for large language models (LLM) and vision language models (VLM). 

Vespa Key Capabilities

High Performance at Scale

Deliver instant results through Vespa’s distributed architecture, efficient query processing, and advanced data management. With optimized low-latency query execution, real-time data updates, and sophisticated ranking algorithms, Vespa actions data with AI across the enterprise.

Search Accuracy

Generative AI depends on the right data. Achieve precise, relevant results using Vespa’s hybrid search capabilities, which combine multiple data types—vectors, text, structured, and unstructured data. Machine learning algorithms can score and rank results to ensure they meet user intent and maximize relevance.

Natural Language Processing (NLP)

Enhance content analysis with NLP through advanced text retrieval, vector search with embeddings, and integration with custom or pre-trained machine learning models like BERT. Vespa enables efficient semantic search, allowing businesses to match queries to documents based on meaning rather than just keywords.

Elastic For Seasonal Demands

Seamlessly handle increased demand with Vespa’s horizontal and vertical scaling capabilities, adding capacity on-demand to maintain peak performance during high-traffic periods.

Address Your Needs

Build AI applications that meet your requirements precisely. Seamlessly integrate your operational systems and databases using Vespa’s APIs and SDKs, ensuring efficient integration without redundant data duplication.

Always On

Deliver services without interruption with Vespa’s high availability and fault-tolerant architecture, which distributes data, queries, and machine learning models across multiple nodes.

Predictable Low-Cost Pricing

Avoid catastrophic run-time costs with Vespa’s highly efficient resource consumption architecture. Pricing is transparent and usage-base

Governed Data

Vespa brings computation to data distributed across many nodes. This not only reduces network bandwidth costs and latency from moving data around, but ensures your AI applications operate within your existing data governance and security policies.

More Reading

Enterprise Retrieval Augmented Generation

Not all RAG methods are created equal. Vespa drives relevant, accurate, and real-time answers from all of your data, with unbeatable performance.

BARC Research Report

This research note explores the emergence of versatile AI databases that support multi-model applications. Practitioners, data/AI leaders, and business leaders should read this report to understand this new platform option for supporting modern AI/ML initiatives.

Vespa at Work

By leveraging Vespa, Spotify users can find what they are looking for even if they don’t use specific keywords, making the discovery process more intuitive and personalized.

“Vespa is a battle-tested platform that allows us to integrate keyword and vector search seamlessly. It forms a key part of our AI research solution, guaranteeing both precision and rapidity in streamlining research processes. We highly recommend Vespa for its reliability and efficiency.”

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