Vespa

Vespa is an AI search platform for vector, text, and structured data search, recommendations, and retrieval at scale.

Vespa is an AI search platform that combines retrieval, ranking, machine learning inference, and real-time updates in a single system. It functions as an open text search engine and vector database, providing hybrid search, relevance models, and multi-vector representations for generative AI and retrieval-augmented generation applications. The platform handles recommendations, personalization, ad targeting, and semi-structured navigation for e-commerce, supporting both structured data and text or images. It also features a streaming search mode for personal and private data without building traditional indexes. Vespa is designed for developers and engineers building data-driven applications that require high speed and relevance at scale.

Vespa at a glance

Best for: Software engineer
Runs on: self-hosted, open source, API, cloud
Pricing: Pay only for what you use, with tiers for dev, production, and enterprise support, plus $300 in free credits.
Released: June 2016
Category: AI search engine
Website: vespa.ai

Key features

Vector, text, and structured search
Distributed machine-learned ranking
Hybrid search and multi-vector representations
Streaming search mode for private data
Machine-learned model inference
Real-time data updates
Semi-structured navigation

Use it for

Building generative AI and RAG applications
Deploying recommendation and personalization systems
Managing digital commerce and e-commerce search
Running personal and private search solutions

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