checkpoint

Author: HeidiSteen

articles/search/vector-search-overview.md

@@ -63,7 +63,7 @@ Vector search is available in:
 
 Scenarios for vector search include:
 
-+ **Vector database**. Azure AI Search stores the data that you query over. Use it as a pure vector store any time you need long-term memory or a knowledge base, or grounding data for [Retrieval Augmented Generation (RAG) architecture](https://aka.ms/what-is-rag), or any app that uses vectors.
++ **Vector database**. Azure AI Search stores the data that you query over. Use it as a [pure vector store](vector-store.md) any time you need long-term memory or a knowledge base, or grounding data for [Retrieval Augmented Generation (RAG) architecture](https://aka.ms/what-is-rag), or any app that uses vectors.
 
 + **Similarity search**. Encode text using embedding models such as OpenAI embeddings or open source models such as SBERT, and retrieve documents with queries that are also encoded as vectors.