Vespa
Open-source search and serving engine combining vector search, keyword search, and ML ranking at scale
Vespa is an open-source platform originally developed at Yahoo that combines big data serving, vector search, keyword search, and machine-learned ranking in a single engine. It handles hybrid search (BM25 + semantic vectors), tensor operations, multi-phase ranking, and real-time data updates across billions of documents with sub-100ms latency. Vespa Cloud offers managed hosting with usage-based pricing, autoscaling, and a free trial with $300 in credits. Also available on AWS and GCP Marketplace.
Pricing: Usage-based
Vespa Alternatives
Explore 25 products in the Vector databases category. View all Vespa alternatives.
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Milvus
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TopK
AI-native search engine combining vector, keyword, and faceted search
pgvector
Open-source PostgreSQL extension for vector similarity search alongside relational data
FAISS
Meta's open-source library for efficient similarity search and dense vector clustering
Elasticsearch
Distributed full-text search and analytics engine with built-in vector and hybrid search
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