SharpCoreDB.VectorSearch
1.4.1
dotnet add package SharpCoreDB.VectorSearch --version 1.4.1
NuGet\Install-Package SharpCoreDB.VectorSearch -Version 1.4.1
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="SharpCoreDB.VectorSearch" Version="1.4.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="SharpCoreDB.VectorSearch" Version="1.4.1" />
<PackageReference Include="SharpCoreDB.VectorSearch" />
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add SharpCoreDB.VectorSearch --version 1.4.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: SharpCoreDB.VectorSearch, 1.4.1"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package SharpCoreDB.VectorSearch@1.4.1
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=SharpCoreDB.VectorSearch&version=1.4.1
#tool nuget:?package=SharpCoreDB.VectorSearch&version=1.4.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
SharpCoreDB.VectorSearch v1.4.1
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 v1.4.1
- ✅ Inherits metadata improvements from SharpCoreDB v1.4.1
- ✅ 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 1.4.1
Requires: SharpCoreDB v1.4.1+
Version: 1.4.1 | 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. |
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
-
net10.0
- SharpCoreDB (>= 1.4.1)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
v1.4.1: Inherit metadata improvements from SharpCoreDB v1.4.1. Phase 8 complete: HNSW-accelerated semantic search, 50-100x faster than SQLite, NativeAOT ready.