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Embedding Search

Community

Semantic search for your documents.

Software Engineering#semantic search#embeddings#rag#knowledge base#vector search#hybrid search
Authorwinsorllc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables efficient searching through large collections of documents by understanding the semantic meaning of queries, not just keywords.

Core Features & Use Cases

  • Semantic Document Search: Find documents based on conceptual similarity.
  • Hybrid Search: Combines keyword matching with semantic similarity for robust results.
  • Use Case: Quickly find information about "cloud deployment strategies" across a vast codebase or documentation library, even if the exact phrase isn't present.

Quick Start

Use the embedding-search skill to search for "machine learning concepts" within your indexed documents.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 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: Embedding Search
Download link: https://github.com/winsorllc/upgraded-carnival/archive/main.zip#embedding-search

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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