Webinar Recording

Unlock the Future of eCommerce

One Platform, Unlimited Possibilities

In this webinar, you’ll learn how Vespa.ai reshaped online retail by integrating search, ranking, and recommendations into a single, scalable platform. The session explored Vespa’s advanced AI capabilities — from agentic commerce to Retrieval-Augmented Generation (RAG) — and how they power state-of-the-art document, video, and image search. You’ll also hear how this unified approach enabled Vinted to scale seamlessly to 1 billion listings, boost query speed, and cut operational costs.

You can view the session recordings and transcripts from this page.

Topics Addressed

Break Down Silos

Learn how Vespa unifies search, recommendation, and personalization into one platform, reducing complexity and eliminating operational inefficiencies.

Real-Time Personalization

See how real-time signals and ML integration deliver hyper-relevant, dynamic results at web scale for better user experiences.

Proven Success

Hear from Vinted’s engineering team on their migration journey with 1 Billion listings, achieving faster search responses and reduced server costs.

Webinar Recordings and Transcripts

Session 1: Introduction to Vespa

Jürgen Obermann, Senior Account Executive, EMEA
Piotr Kobziakowski, Senioar Principal Solutions ArchitectSession 2:

Session 2: Vinted Case Study

Ernestas Poskus, Search Engineering Manager

Session 3: Vespa Technical Deep Dive

Piotr Kobziakowski, Senioar Principal Solutions Architect

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.