fix broken link

Author: elithrar

src/content/docs/agents/api-reference/rag.mdx

@@ -10,7 +10,7 @@ import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/com
 
 Agents can use Retrieval Augmented Generation (RAG) to retrieve relevant information and use it augment [calls to AI models](/agents/api-reference/using-ai-models/). Store a user's chat history to use as context for future conversations, summarize documents to bootstrap an Agent's knowledge base, and/or use data from your Agent's [web browsing](/agents/api-reference/browse-the-web/) tasks to enhance your Agent's capabilities.
 
-You can use the Agent's own [SQL database](/agents/api-reference/manage-and-sync-state) as the source of truth for your data and store embeddings in [Vectorize](/vectorize/) (or any other vector-enabled database) to allow your Agent to retrieve relevant information.
+You can use the Agent's own [SQL database](/agents/api-reference/store-and-sync-state) as the source of truth for your data and store embeddings in [Vectorize](/vectorize/) (or any other vector-enabled database) to allow your Agent to retrieve relevant information.
 
 ### Vector search