Vespa is a production engine combining vector search, lexical search and ML-model ranking over billions of documents with real-time writes — the platform behind major web-scale services.
| Category | Vector database |
| Type | Search & serving engine |
| License | Apache-2.0 |
| Runs locally | Yes |
| Built with | Java/C++ |
| Skill level | Advanced |
| Best for | web-scale hybrid search with online ranking |
Other open-source vector database tools worth comparing:
QdrantFast Rust-based vector search
WeaviateVector DB with built-in modules
MilvusBillion-scale vector database
ChromaThe simplest embedding DB for prototyping
pgvectorVector search inside PostgreSQL
LanceDBServerless vector DB for AI
FAISSThe reference library for similarity search
pgvectorscaleMake pgvector fast at scale
MarqoVector search with embedding built in
USearchTiny, extremely fast vector indexVespa is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Yes. Vespa is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include Qdrant, Weaviate, Milvus. See the comparisons above to choose.
Browse the full directory of open-source AI tools, models and projects — updated daily.
Browse all tools →