Semantic search for your VS Code workspace using local AI embeddings. Find code by concept, not just keywords — all without sending your code to a server.
Features
Semantic vector search — find code related to a concept or behaviour, even when the exact words don't match
Fully local — embeddings are computed in-browser using Transformers.js; no data leaves your machine
Copilot tool integration — expose search to GitHub Copilot Chat, and any other chat, so it can query your codebase with #intellisearch
Incremental index updates — file watchers keep the index up to date as you edit
Usage
Build the index
Open the Command Palette (Ctrl+Shift+P / Cmd+Shift+P)
Run IntelliSearch: Build Index
The panel opens and indexes every file in your workspace. This takes a moment on first run while the AI model loads and files are embedded.
Search
Use the search box in the IntelliSearch panel, or
Reference #intellisearch in a GitHub Copilot chat message to let the AI search on your behalf
Rebuild / update
Run IntelliSearch: Build Index again at any time to do a full rebuild. The index is updated automatically in the background as you save files.
Extension Settings
No settings yet.
Please Note
Large workspaces may take several minutes to index on the first build