Semantic Code Search VSCode Extension

A code indexing and semantic search VSCode extension powered by CodeIndexer.

Features

• 🔍 Semantic Search: Intelligent code search based on semantic understanding, not just keyword matching
• 📁 Codebase Indexing: Automatically index entire codebase and build semantic vector database
• 🎯 Context Search: Search related code by selecting code snippets
• 🔧 Multi-platform Support: Support for OpenAI and VoyageAI as embedding providers
• 💾 Vector Storage: Integrated with Milvus vector database for efficient storage and retrieval

Installation

1. Open Extensions view in VSCode (Ctrl+Shift+X)
2. Search for "Semantic Code Search"
3. Click Install

Quick Start

1. Configure Embedding Model:

   • Open VSCode Settings (Ctrl+,)
   • Search for "Semantic Code Search"
   • Configure embedding provider and API Key

2. Index Codebase:

   • Open Command Palette (Ctrl+Shift+P)
   • Run "Semantic Code Search: Index Codebase"

3. Start Searching:

   • Open Semantic Code Search panel in sidebar
   • Enter search query or right-click on selected code to search

Commands

• Semantic Code Search: Semantic Search - Perform semantic search
• Semantic Code Search: Index Codebase - Index current codebase
• Semantic Code Search: Clear Index - Clear the index

Configuration

• semanticCodeSearch.embeddingProvider.provider - Embedding provider (OpenAI/VoyageAI)
• semanticCodeSearch.embeddingProvider.model - Embedding model to use
• semanticCodeSearch.embeddingProvider.apiKey - API key for embedding provider
• semanticCodeSearch.milvus.address - Milvus server address

Tech Stack

• TypeScript
• VSCode Extension API
• Milvus Vector Database
• OpenAI/VoyageAI Embeddings

License

MIT License