Articles from Vespa.ai

Vespa.ai, the creator of the AI Search Platform for building and deploying large-scale, real-time AI applications powered by big data, today announced its recognition as a Leader and Outperformer in the GigaOm Radar for Vector Databases v3, marking the company’s third consecutive year being evaluated in GigaOm’s vector database research.

Vespa.ai, the platform for large-scale, real-time AI applications powered by big data, today announced the appointment of Harini Gopalakrishnan as General Manager of Health & Life Sciences. Gopalakrishnan, formerly Global CTO for Life Sciences at Snowflake, will spearhead Vespa’s strategic initiatives in the sector.

Today, Vespa.ai– the company behind the leading platform to build and deploy large-scale, real-time AI applications powered by big data– joined Perplexity to announce the AI-powered answer engine’s shift bringing its search feature in-house. The move will significantly enhance the speed, accuracy, and relevance of search results at a scale only made possible on Vespa’s platform.

Vespa.ai, the creator of a leading platform for building and deploying large-scale, real-time AI applications powered by big data, today announced its recognition as a Leader and Forward Mover in the 2025 GigaOm Sonar for Vector Databases—for the second consecutive year.

Vespa.ai, a leading platform for AI-driven applications has been chosen by RavenPack, a global leader in financial data analytics, to power billion-scale vector search for their new service offering, Bigdata.com. The platform combines RavenPack's proprietary RAG (Retrieval-Augmented Generation) technology with Vespa.ai's search capabilities to process billions of financial documents with unprecedented speed and accuracy.

Vespa.ai, developer of the leading platform for AI applications including Retrieval-Augmented Generation (RAG), has today announced support for ColPali, a new open-source retrieval model for visually rich documents such as PDFs.