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.
Azure AI Search
Microsoft managed search service with vector, hybrid, and agentic retrieval for RAG
Elasticsearch
Distributed full-text search and analytics engine with built-in vector and hybrid search
Cloudflare Vectorize
Serverless vector database on Cloudflare's global network
Typesense
Open-source typo-tolerant search engine with built-in vector and hybrid search
OpenSearch
Open-source search and analytics suite with full-text, vector, and hybrid search
pgvecto.rs
pgvecto.rs is a Postgres extension that provides vector similarity search functions.
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