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Table of Contents

• ↓ Highlights
• ↓ All you need to build data-driven applications
• ↓ Proven at scale
• ↓ Your agent wants to search like a 2010 quant
• ↓ Re-autoresearching MSMARCO BM25, on Vespa
• ↓ Vespa Newsletter, May 2026
• ↓ Top Alternatives to vespa.ai

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Content Snippets from vespa.ai

"Your users expect intelligent experiences that investigate, reason, and deliver trusted outcomes. Vespa.ai develops the Vespa AI Search Platform, a distributed serving engine that unifies retrieval, ranking, machine learning inference, and real-time serving for business-critical AI applications."

"Vespa is the world’s leading open text search engine and the world’s most capable vector database. In combination with Vespa’s integrated distributed machine-learned model inference for relevance this lets you create search applications with a quality you simply cannot achieve in any other way."

"GenAI applications are only as good as the data we surface for them to work with; they need great search relevance. This takes much more than vector similarity—hybrid search, relevance models, and multi-vector representations. Vespa is the only platform which lets you deploy such techniques with no limitations and at any scale."

"Recommendation, personalization and ad targeting systems combine retrieval of eligible content with machine-learned model evaluation to select the best data items. Vespa lets you easily build applications that do this at any scale and complexity."

Key Topics & Focus Areas for vespa.ai:

Highlights

All you need to build data-driven applications

Proven at scale

Your agent wants to search like a 2010 quant

Re-autoresearching MSMARCO BM25, on Vespa

Vespa Newsletter, May 2026