SharpCoreDB.VectorSearch
1.5.0
dotnet add package SharpCoreDB.VectorSearch --version 1.5.0
NuGet\Install-Package SharpCoreDB.VectorSearch -Version 1.5.0
<PackageReference Include="SharpCoreDB.VectorSearch" Version="1.5.0" />
<PackageVersion Include="SharpCoreDB.VectorSearch" Version="1.5.0" />
<PackageReference Include="SharpCoreDB.VectorSearch" />
paket add SharpCoreDB.VectorSearch --version 1.5.0
#r "nuget: SharpCoreDB.VectorSearch, 1.5.0"
#:package SharpCoreDB.VectorSearch@1.5.0
#addin nuget:?package=SharpCoreDB.VectorSearch&version=1.5.0
#tool nuget:?package=SharpCoreDB.VectorSearch&version=1.5.0
SharpCoreDB.VectorSearch v1.5.0
SIMD-Accelerated Vector Similarity Search
Semantic search and similarity matching 50-100x faster than SQLite using HNSW indexing and SIMD acceleration.
✨ What's New in v1.5.0
- ✅ Inherits metadata improvements from SharpCoreDB v1.5.0
- ✅ 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 1.5.0
Requires: SharpCoreDB v1.5.0+
Version: 1.5.0 | 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 (>= 1.5.0)
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.
v1.5.0: Improvements and optimizations. Bug fixes. Semantic search quality enhancements.