From 1bd937aa5b67903ebf8b01bc6dd2f965d1b56149 Mon Sep 17 00:00:00 2001
From: Andrey Vasnetsov <andrey@vasnetsov.com>
Date: Tue, 18 Nov 2025 13:12:07 +0100
Subject: [PATCH] Refactor query structure in qdrant-1.16.x.md

Updated the query structure to use a predefined QUERY object for consistency and clarity.
---
 qdrant-landing/content/blog/qdrant-1.16.x.md | 39 ++++++++------------
 1 file changed, 16 insertions(+), 23 deletions(-)

diff --git a/qdrant-landing/content/blog/qdrant-1.16.x.md b/qdrant-landing/content/blog/qdrant-1.16.x.md
index c42f6b879..8470411e5 100644
--- a/qdrant-landing/content/blog/qdrant-1.16.x.md
+++ b/qdrant-landing/content/blog/qdrant-1.16.x.md
@@ -162,41 +162,34 @@ The `text_any` condition matches text fields that contain any of the query terms
 
 A good example of using the `text_any` condition is in e-commerce applications, where users often search for products using multiple keywords. By combining a vector query with a series of increasingly lenient full-text filters, you can ensure that users receive relevant results even if their initial search terms are too restrictive. 
 
-```json
-batch [
+```python
+QUERY = {
+  "text": "best smartphone ever",
+  "model": "sentence-transformers/all-MiniLM-L6-v2"
+}
+
+batch_query = [
   {
-    "query": {
-      "text": "best smartphone ever",
-      "model": "sentence-transformers/all-MiniLM-L6-v2"
-    },
+    "query": QUERY,
     "filter": {
       "must": {
         "key": "description",
-        "match": {
-          "text": "5G 5000mAh OLED"
-        }
+        "match": { "text": "5G 5000mAh OLED" }
       }
     }
   },
-  {
-    "query": {
-      "text": "best smartphone ever",
-      "model": "sentence-transformers/all-MiniLM-L6-v2"
-    },
+  { # fallback to at least one token
+    "query": QUERY,
     "filter": {
       "must": {
         "key": "description",
-        "match": {
-          "text_any": "5G 5000mAh OLED"
-        }
+        "match": { "text_any": "5G 5000mAh OLED" }
       }
     }
   },
-  {
-    "query": {
-      "text": "best smartphone ever",
-      "model": "sentence-transformers/all-MiniLM-L6-v2"
-    }
+  { # fallback to just similarity
+    "query": QUERY,
+    "filter": null
   }
 ]
 ```
@@ -273,4 +266,4 @@ We recommend upgrading versions one by one, for example, 1.14->1.15->1.16.
 
 ![Engage](/blog/qdrant-1.16.x/section-9.png)
 
-We would love to hear your thoughts on this release. If you have any questions or feedback, join our [Discord](https://discord.gg/qdrant) or create an issue on [GitHub](https://github.com/qdrant/qdrant/issues).
\ No newline at end of file
+We would love to hear your thoughts on this release. If you have any questions or feedback, join our [Discord](https://discord.gg/qdrant) or create an issue on [GitHub](https://github.com/qdrant/qdrant/issues).