Vespa

The AI-native search engine.

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Overview

Vespa is an open-source engine for serving and scaling applications that perform real-time computations over large, evolving datasets. It is particularly well-suited for building applications that combine traditional search with vector search and machine-learned model inference.

✨ Key Features

  • Open-source
  • Real-time indexing and search
  • Hybrid search (keyword, vector, and structured data)
  • Machine-learned model inference at serving time
  • Scalable and distributed architecture

🎯 Key Differentiators

  • Real-time machine-learned model inference at serving time
  • Tight integration of keyword, vector, and structured data search
  • Proven scalability in production at very large scale

Unique Value: Vespa enables the development of advanced, real-time AI-powered applications by combining search, recommendation, and machine-learned model inference in a single, scalable platform.

🎯 Use Cases (4)

Search engines Recommendation systems Personalization Advertising platforms

✅ Best For

  • Powering large-scale search and recommendation for major tech companies
  • Building real-time personalization engines

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Simple applications that do not require the advanced features and scalability of Vespa.

🏆 Alternatives

Elasticsearch Solr

Vespa's ability to perform machine-learned model inference in real-time at serving time provides a significant advantage for applications that require dynamic and personalized results.

💻 Platforms

Web API

✅ Offline Mode Available

🔌 Integrations

TensorFlow PyTorch ONNX API

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Dedicated Support (Vespa Cloud tier)

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open-source and free to use.

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