jvector
jvector is a high-performance Java-based library and engine for vector search and approximate nearest neighbor indexing.
About this tool
jvector
Category: SDKs & Libraries
Type: Java library for vector search and approximate nearest neighbor (ANN) indexing
jvector is a high-performance, Java-based engine for approximate nearest neighbor search, combining ideas from HNSW and DiskANN/Vamana to provide scalable, graph-based vector indexing.
Features
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Graph-based ANN index
- Implements a graph index merging the DiskANN and HNSW design families.
- Uses a hierarchical (multi-layer) graph structure similar to HNSW.
- Employs the Vamana algorithm (from DiskANN) within each layer.
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Hierarchical / multi-layer architecture
- Upper layers of the hierarchy are maintained in memory as per-node adjacency lists.
- Enables fast navigation of the index with no disk I/O for upper-level traversals.
- Bottom layer is stored on disk as per-node adjacency lists for large-scale datasets.
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Two-pass search support
- Stores additional data inline in the on-disk layer to enable two-pass search strategies.
- First pass is designed to be powered by lightweight, I/O-efficient access patterns.
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High performance and scalability
- Non-blocking concurrency control for index construction.
- Construction scales linearly with the number of CPU cores (parallel index build).
- Designed for high-dimensional vector search where exact KNN is impractical.
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Approximate nearest neighbor (ANN) capabilities
- Optimized for logarithmic-time approximate nearest neighbor search on large datasets.
- Suitable for dynamic, general-purpose indexing where incremental construction and updates are needed.
Typical Use Cases
- Large-scale vector search over high-dimensional embeddings.
- Applications requiring fast approximate nearest neighbor queries (e.g., semantic search, recommendation, similarity search).
- Systems needing incremental or continuously updated ANN indexes rather than static, pre-built indexes.
Pricing
- Not specified in the provided content (open-source GitHub project; see repository for license and usage terms).
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