Update index.md

content/blog/query-expansion/index.md

@@ -5,8 +5,8 @@ description: Expand keyword queries to improve recall and provide more context t
 featured_image: thumbnail.png
 images: ["blog/query-expansion/thumbnail.png"]
 toc: True
-date: 2024-08-12
-last_updated: 2024-08-12
+date: 2024-08-14
+last_updated: 2024-08-14
 authors:
   - Tuana Celik
 tags: ["Retrieval", "RAG", "Advanced Use Cases"]
@@ -223,4 +223,4 @@ Query Expansion is a great technique that will allow you to get a wider range of
 
 This does however mean that we heavily rely on the quality of the provided query. Query expansion allows you to navigate this issue by generating similar queries to the user query.
 
-In my opinion, one of the main advantages of this technique is that it allows you to avoid embedding documentation at each update, while still managing to increase the relevance of retrieved documents at query time. Keyword retrieval doesn’t require any extra embedding step, so the only inferencing happening at retrieval time in this scenario is when we ask an LLM to generate a certain number of similar queries.
+In my opinion, one of the main advantages of this technique is that it allows you to avoid embedding documentation at each update, while still managing to increase the relevance of retrieved documents at query time. Keyword retrieval doesn’t require any extra embedding step, so the only inferencing happening at retrieval time in this scenario is when we ask an LLM to generate a certain number of similar queries.