libvector
OfficialFast vector similarity search and indexing.
Authorcopilot-ld
Version1.0.0
Installs0
System Documentation
What problem does it solve?
libvector provides fast vector similarity search by storing embeddings with metadata and enabling cosine similarity-based retrieval for semantic search, RAG pipelines, and document similarity tasks.
Core Features & Use Cases
- VectorIndex stores embeddings with metadata and offers cosine similarity search with metadata filtering.
- VectorProcessor handles embedding generation and indexing to support efficient retrieval.
- Use Case: Build semantic search, content recommendation, and knowledge-base navigation across large document collections.
Quick Start
Run the vector processing workflow to embed and index your documents for fast retrieval.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: libvector Download link: https://github.com/copilot-ld/copilot-ld/archive/main.zip#libvector Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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