These guides walk through common AI Search use cases, from no-code setups to full agent applications. Use the difficulty column to find the right place to start.
| Guide | Difficulty | What you build |
|---|---|---|
| Add search to your website | Beginner | Add a search bar, chat bubble, and search modal to a site with the prebuilt UI snippets. |
| Connect your AI Search to an MCP client | Beginner | Expose your indexed content as a search tool for any MCP client or AI assistant, with no code. |
| Create a simple search engine | Beginner | Query an instance from a Worker using the search binding. |
| Multitenancy | Intermediate | Keep each tenant's data separate with a per-tenant instance or a shared instance and metadata filtering. |
| Search multiple sources at once | Intermediate | Search a shared knowledge base and a tenant-specific one together in a single query. |
| Fetch and index single web pages | Intermediate | Use Browser Run to fetch a page's rendered HTML, index it, and search it from one Worker. |
| Bring your own generation model | Intermediate | Use AI Search for retrieval and an external model, such as OpenAI, for generation. |
| Show source citations in responses | Intermediate | Return AI-generated answers with citations to the source documents that informed them. |
| Human-in-the-loop knowledge base updates | Advanced | Build an agent that proposes new documents and pauses for human approval, with rollback. |