AI Search

Semantic search for VS Code / VSCodium. Index your codebase, or just a folder of Markdown/text files, into a vector database and search it by meaning instead of by keyword, from the editor sidebar.

Started from zilliztech/claude-context, an independent project, not a fork.

Features

• Semantic search from the activity-bar sidebar
• AST-aware chunking: js/ts, python, java, c/c++, go, rust, c#, scala, php, ruby
• Markdown-aware chunking via a real Markdown AST, splitting by headings and ---
• Embeddings: OpenAI, OpenRouter, VoyageAI, Ollama, Gemini
• Vector databases: Milvus / Zilliz Cloud, LanceDB local, Local FAISS+SQLite
• Re-ranking on demand via OpenRouter Cohere rerank models

Usage

1. Open the AI Search view from the activity bar.
2. Configure an embedding provider and a vector database (gear icon, or Settings → search aiSearch).
3. Index your codebase, then search.

Settings

• aiSearch.embeddingProvider.provider: OpenAI / OpenRouter / VoyageAI / Ollama / Gemini
• aiSearch.embeddingProvider.model, .apiKey, .baseURL, .host (Ollama)
• aiSearch.vectorDatabase.provider: Milvus / LanceDB / Local
• aiSearch.vectorDatabase.dataDir: folder for local DBs (default ~/.ai-search)
• aiSearch.milvus.address, .token
• aiSearch.splitter.type: ast (default) or recursive; .chunkSize, .chunkOverlap

LanceDB / Local backends use native modules and work best when running from source. The Milvus (REST) backend needs no native modules.

See the repository README for build and local-development instructions.

License

MIT

Credits

Search icon by Icons8