Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do. Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. Vespa lets you build applications which does this online, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. This makes it possible to make recommendations specifically for each user or situation, using completely up to date information.

Features

  • Recommendation and personalization
  • Text search
  • Question answering
  • Semi-structured navigation
  • Exact, substring and regexp, numerical ranges, geo-distance, predicates
  • Full text with tokenization and stemming, as well as positional information

Project Samples

Project Activity

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License

Apache License V2.0

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