Build5Nines/SharpVector
Lightweight, In-memory, Semantic Search, Text Vector Database to embed in any .NET Application
Supports pluggable embedding providers including local models, OpenAI, and Ollama, with extensible APIs for custom vector comparison and preprocessing strategies. Designed for RAG (Retrieval-Augmented Generation) patterns to augment LLMs with contextual data through semantic search. Targets .NET 8+ applications seeking a self-contained alternative to external vector database services.
121 stars.
Stars
121
Forks
9
Language
C#
License
MIT
Category
Last pushed
Jan 10, 2026
Commits (30d)
0
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