AI Automation

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

AI-Driven Decision Making

The evolution of 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 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 e-commerce by enabling customers to express their desires through their social media images, Vespa allows businesses to scale GenAI initiatives from pilot to full enterprise deployment.

Vespa.ai is a powerful AI Search 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 a vector database, hybrid search, retrieval-augmented generation (RAG), natural language processing (NLP), machine learning, and support for large language models (LLMs) and vision-language models (VLMs).

Vespa Platform Key Capabilities

Vespa provides 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).
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.
Achieve precise, relevant results using Vespa’s hybrid search capabilities, which combine multiple data types—vectors, text, structured, and unstructured data. Machine learning algorithms rank and score results to ensure they meet user intent and maximize relevance.
Enhance content analysis with NLP through advanced text retrieval, vector search with embeddings and integration with custom or pre-trained machine learning models. Vespa enables efficient semantic search, allowing users to match queries to documents based on meaning rather than just keywords.
Search and retrieve data using detailed contextual clues that combine images and text. By enhancing the cross-referencing of posts, images, and descriptions, Vespa makes retrieval more intelligent and visually intuitive, transforming search into a seamless, human-like experience.
Ensure seamless user experience and reduce management costs with Vespa Cloud. Applications dynamically adjust to fluctuating loads, optimizing performance and cost to eliminate the need for over-provisioning.
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.
Deliver services without interruption with Vespa’s high availability and fault-tolerant architecture, which distributes data, queries, and machine learning models across multiple nodes.
Bring computation to the data distributed across multiple nodes. Vespa reduces network bandwidth costs, minimizes latency from data transfers, and ensures your AI applications comply with existing data residency and security policies. All internal communications between nodes are secured with mutual authentication and encryption, and data is further protected through encryption at rest.
Avoid catastrophic run-time costs with Vespa’s highly efficient and controlled resource consumption architecture. Pricing is transparent and usage-based.

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.

Read the Spotify blog

“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.”

Read the Elicit Blog

Perplexity chose Vespa.ai as the foundation for its AI Search platform and AI-First Search API because Vespa uniquely integrates retrieval, ranking, and machine-learning inference at scale. Vespa delivers the completeness, freshness, and fine-grained control essential for high-quality RAG.

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.

Learn more

GigaOm: Migrating to AI-Native Search and Data Serving Platforms

AI-driven applications push conventional search infrastructure to its limits. This GigaOm Brief explains how traditional systems are bottlenecks for real-time, high-volume AI workloads.

Read the report