d3d577a2e2
- Cosine similarity vector search over stored embeddings - Reciprocal Rank Fusion (K=60) combining FTS5 + vector rankings - Configurable alpha weight between keyword and semantic search - Graceful degradation to FTS5-only when no embedding provider configured Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
sv
Everything you need to build a Svelte project, powered by sv.
Creating a project
If you're seeing this, you've probably already done this step. Congrats!
# create a new project
npx sv create my-app
To recreate this project with the same configuration:
# recreate this project
npx sv@0.12.8 create --template minimal --types ts --add prettier eslint vitest="usages:unit,component" tailwindcss="plugins:none" sveltekit-adapter="adapter:node" drizzle="database:sqlite+sqlite:better-sqlite3" mcp="ide:claude-code,vscode,other+setup:remote" --install npm trueref
Developing
Once you've created a project and installed dependencies with npm install (or pnpm install or yarn), start a development server:
npm run dev
# or start the server and open the app in a new browser tab
npm run dev -- --open
Building
To create a production version of your app:
npm run build
You can preview the production build with npm run preview.
To deploy your app, you may need to install an adapter for your target environment.