SharpCoreDB.VectorSearch
1.7.1
See the version list below for details.
dotnet add package SharpCoreDB.VectorSearch --version 1.7.1
NuGet\Install-Package SharpCoreDB.VectorSearch -Version 1.7.1
<PackageReference Include="SharpCoreDB.VectorSearch" Version="1.7.1" />
<PackageVersion Include="SharpCoreDB.VectorSearch" Version="1.7.1" />
<PackageReference Include="SharpCoreDB.VectorSearch" />
paket add SharpCoreDB.VectorSearch --version 1.7.1
#r "nuget: SharpCoreDB.VectorSearch, 1.7.1"
#:package SharpCoreDB.VectorSearch@1.7.1
#addin nuget:?package=SharpCoreDB.VectorSearch&version=1.7.1
#tool nuget:?package=SharpCoreDB.VectorSearch&version=1.7.1
SharpCoreDB.VectorSearch v1.7.1
SIMD-Accelerated Vector Similarity Search
Semantic search and similarity matching 50-100x faster than SQLite using HNSW indexing and SIMD acceleration.
Patch updates in v1.7.1
- ✅ Aligned package metadata and version references to the synchronized 1.7.1 release line.
- ✅ Release automation now publishes all packable SharpCoreDB packages in CI/CD.
✨ What's New in v1.7.1
- ✅ Inherits metadata improvements from SharpCoreDB v1.7.1
- ✅ Phase 8 complete: HNSW-accelerated semantic search
- ✅ 50-100x faster than SQLite
- ✅ NativeAOT compatible
- ✅ Zero breaking changes
🚀 Key Features
- HNSW Indexing: Hierarchical Navigable Small World graphs
- SIMD Acceleration: Vectorized distance calculations
- Semantic Search: Find similar embeddings efficiently
- Scalability: Millions of vectors, sub-millisecond queries
- Production Ready: 1,468+ tests, enterprise reliability
🎯 Use Cases
- RAG Systems: Knowledge base semantic search
- Recommendation Engines: Find similar products/content
- Duplicate Detection: Identify similar records
- Clustering: Group similar embeddings
- AI Applications: LLM-powered semantic search
📊 Performance
- Search Latency: Sub-millisecond for millions of vectors
- Index Size: 10-20% of raw vector data
- Build Time: Efficient incremental indexing
- Memory: Low-memory HNSW implementation
📚 Documentation
📦 Installation
dotnet add package SharpCoreDB.VectorSearch --version 1.7.1
Requires: SharpCoreDB v1.7.1+
Version: 1.7.1 | Status: ✅ Production Ready | Phase: 8 Complete
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net10.0 is compatible. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
-
net10.0
- SharpCoreDB (>= 1.7.1)
NuGet packages (1)
Showing the top 1 NuGet packages that depend on SharpCoreDB.VectorSearch:
| Package | Downloads |
|---|---|
|
SharpCoreDB.Graph.Advanced
`SharpCoreDB.Graph` provides traversal and pathfinding; `SharpCoreDB.Graph.Advanced` adds analytics, centrality metrics, subgraph analysis, and GraphRAG with vector search integration. |
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last Updated |
|---|---|---|
| 2.0.0.2 | 83 | 9/4/2026 |
| 2.0.0.1 | 275 | 9/1/2026 |
| 2.0.0 | 75 | 9/1/2026 |
| 2.0.0-preview.3 | 51 | 8/30/2026 |
| 2.0.0-preview.2 | 55 | 8/30/2026 |
| 2.0.0-preview.1 | 52 | 8/29/2026 |
| 1.9.9 | 107 | 8/30/2026 |
| 1.9.8 | 125 | 8/29/2026 |
| 1.9.7 | 107 | 8/29/2026 |
| 1.9.6 | 118 | 8/28/2026 |
| 1.9.5 | 118 | 8/27/2026 |
| 1.9.4 | 110 | 8/22/2026 |
| 1.9.3 | 135 | 7/28/2026 |
| 1.9.2 | 187 | 6/7/2026 |
| 1.9.1 | 134 | 5/21/2026 |
| 1.9.0 | 124 | 5/20/2026 |
| 1.8.0 | 165 | 4/29/2026 |
| 1.7.2 | 158 | 4/28/2026 |
| 1.7.1 | 138 | 4/26/2026 |
| 1.7.0 | 169 | 4/19/2026 |
v1.7.1: Synchronized release with the latest SharpCoreDB features, fixes, and documentation updates.