JVector is a pure Java, zero dependency, embedded vector search engine, used by DataStax Astra DB and Apache Cassandra.

What is JVector?

• Algorithmic-fast. JVector uses state of the art graph algorithms inspired by DiskANN and related research that offer high recall and low latency.
• Implementation-fast. JVector uses the Panama SIMD API to accelerate index build and queries.
• Memory efficient. JVector compresses vectors using product quantization so they can stay in memory during searches. (As part of our PQ implementation, our SIMD-accelerated kmeans implementation is 3x faster than Apache Commons Math.)
• Disk-aware. JVector’s disk layout is designed to do the minimum necessary iops at query time.
• Concurrent. Index builds scale linearly to at least 32 threads. Double the threads, half the build time.
• Incremental. Query your index as you build it. No delay between adding a vector and being able to find it in search results.
• Easy to embed. API designed for easy embedding, by people using it in production.

Just add org.github.jbellis.jvector as a dependency and you’re off to the races.