deploy: c4d8c6e

Author: jillesvangurp

manual/Aggregations.md

@@ -99,7 +99,7 @@ This prints:
 
 ```text
 {
-  "took": 3,
+  "took": 4,
   "_shards": {
     "total": 1,
     "successful": 1,
@@ -339,25 +339,25 @@ println(
 This prints:
 
 ```text
-2024-11-18T00:00:00.000Z: 1
-2024-11-19T00:00:00.000Z: 0
-2024-11-20T00:00:00.000Z: 0
-2024-11-21T00:00:00.000Z: 0
-2024-11-22T00:00:00.000Z: 0
 2024-11-23T00:00:00.000Z: 1
 2024-11-24T00:00:00.000Z: 0
 2024-11-25T00:00:00.000Z: 0
 2024-11-26T00:00:00.000Z: 0
-2024-11-27T00:00:00.000Z: 1
+2024-11-27T00:00:00.000Z: 0
 2024-11-28T00:00:00.000Z: 1
+2024-11-29T00:00:00.000Z: 0
+2024-11-30T00:00:00.000Z: 0
+2024-12-01T00:00:00.000Z: 0
+2024-12-02T00:00:00.000Z: 1
+2024-12-03T00:00:00.000Z: 1
 green: 2
-  Min: 1.731937352261E12
-  Max: 1.732801352261E12
+  Min: 1.732334465085E12
+  Max: 1.733198465085E12
   Time span: 8.64E8
   Top: [1,4]
 red: 2
-  Min: 1.732369352261E12
-  Max: 1.732714952261E12
+  Min: 1.732766465085E12
+  Max: 1.733112065085E12
   Time span: 3.456E8
   Top: [2,3]
 Avg time span: 6.048E8

manual/Highlighting.md

@@ -20,7 +20,7 @@ client.search(indexName) {
 ```
 
 {
-    "took": 47,
+    "took": 46,
     "_shards": {
         "total": 1,
         "successful": 1,
@@ -80,7 +80,7 @@ client.search(indexName) {
 ```
 
 {
-    "took": 16,
+    "took": 19,
     "_shards": {
         "total": 1,
         "successful": 1,

manual/KnnSearch.md

@@ -133,39 +133,39 @@ This prints:
 
 ```text
 query for vector of rice:
-MTkCc5MBhT0hCgeum9GB - 0.93660545: chicken
-LzkCc5MBhT0hCgeum9GB - 0.9159527: chicken teriyaki with rice
-KzkCc5MBhT0hCgeum9GB - 0.91181946: apple pie
+ZR-uipMBeRvcdmnhERLV - 0.93660545: chicken
+Yx-uipMBeRvcdmnhERLV - 0.9159527: chicken teriyaki with rice
+Xx-uipMBeRvcdmnhERLV - 0.91181946: apple pie
 ---
 query for vector of gebak en taart:
-KzkCc5MBhT0hCgeum9GB - 0.8899498: apple pie
-MDkCc5MBhT0hCgeum9GB - 0.8890915: tikka massala
-LjkCc5MBhT0hCgeum9GB - 0.88838005: pattiserie
+Xx-uipMBeRvcdmnhERLV - 0.8899498: apple pie
+ZB-uipMBeRvcdmnhERLV - 0.8890915: tikka massala
+Yh-uipMBeRvcdmnhERLV - 0.88838005: pattiserie
 ---
 query for vector of muppets:
-KzkCc5MBhT0hCgeum9GB - 0.9113884: apple pie
-MTkCc5MBhT0hCgeum9GB - 0.90841866: chicken
-LTkCc5MBhT0hCgeum9GB - 0.90057564: the cookie monster
+Xx-uipMBeRvcdmnhERLV - 0.9113884: apple pie
+ZR-uipMBeRvcdmnhERLV - 0.90841866: chicken
+YR-uipMBeRvcdmnhERLV - 0.90057564: the cookie monster
 ---
 query for vector of artisanal baker:
-LDkCc5MBhT0hCgeum9GB - 0.9066143: chocolate chip cookie
-LTkCc5MBhT0hCgeum9GB - 0.89697075: the cookie monster
-KTkCc5MBhT0hCgeum9GB - 0.8922405: banana muffin with chocolate chips
+YB-uipMBeRvcdmnhERLV - 0.9066143: chocolate chip cookie
+YR-uipMBeRvcdmnhERLV - 0.89697075: the cookie monster
+XR-uipMBeRvcdmnhERLV - 0.8922405: banana muffin with chocolate chips
 ---
 query for vector of indian curry:
-MTkCc5MBhT0hCgeum9GB - 0.9322586: chicken
-LzkCc5MBhT0hCgeum9GB - 0.9312973: chicken teriyaki with rice
-MDkCc5MBhT0hCgeum9GB - 0.9182453: tikka massala
+ZR-uipMBeRvcdmnhERLV - 0.9322586: chicken
+Yx-uipMBeRvcdmnhERLV - 0.9312973: chicken teriyaki with rice
+ZB-uipMBeRvcdmnhERLV - 0.9182453: tikka massala
 ---
 query for vector of japanese food:
-LzkCc5MBhT0hCgeum9GB - 0.92860985: chicken teriyaki with rice
-MTkCc5MBhT0hCgeum9GB - 0.9264393: chicken
-KzkCc5MBhT0hCgeum9GB - 0.9177284: apple pie
+Yx-uipMBeRvcdmnhERLV - 0.92860985: chicken teriyaki with rice
+ZR-uipMBeRvcdmnhERLV - 0.9264393: chicken
+Xx-uipMBeRvcdmnhERLV - 0.9177284: apple pie
 ---
 query for vector of baked goods:
-KzkCc5MBhT0hCgeum9GB - 0.9216957: apple pie
-LDkCc5MBhT0hCgeum9GB - 0.91723824: chocolate chip cookie
-KjkCc5MBhT0hCgeum9GB - 0.91052055: apple crumble
+Xx-uipMBeRvcdmnhERLV - 0.9216957: apple pie
+YB-uipMBeRvcdmnhERLV - 0.91723824: chocolate chip cookie
+Xh-uipMBeRvcdmnhERLV - 0.91052055: apple crumble
 ---
 ```
 

manual/README.md

@@ -78,6 +78,6 @@ There are several libraries that build on kt-search:
 
 Additionally, I also maintain a few other search related projects that you might find interesting.
 
-- [Rankquest Studio](https://rankquest.jillesvangurp.com) - A user friendly tool that requires no installation process that helps you build and run test cases to measure search relevance for your search products. Rankquest Studio of course uses kt-search but it is also able to talk directly to your API and is designed to work with any kind of search api or product that is able to return lists of results.
-- [querylight](https://github.com/jillesvangurp/querylight) - Sometimes Elasticsearch is just overkill. Query light is a tiny in memory search engine that you can embed in your kotlin browser, server, or mobile applications. We use it at FORMATION to support e.g. in app icon search. Querylight comes with its own analyzers and query language. 
+- [Rankquest Studio](https://rankquest.jillesvangurp.com) - A user friendly tool that requires no installation process that helps you build and run test cases to measure search relevance for your search products. Rankquest Studio of course uses kt-search but it is also able to talk directly to your search API and is designed to work with any kind of search api or product that is able to return lists of results.
+- [querylight](https://github.com/jillesvangurp/querylight) - Sometimes Elasticsearch/Opensearch is just overkill. Query light is a tiny but capable in memory search engine that you can embed in your kotlin browser, server, or mobile applications. We use it at FORMATION to support e.g. in app icon search. Querylight comes with its own analyzers and query language. 
 

manual/Search.md

@@ -273,7 +273,7 @@ This prints:
 
 ```text
 document count 3
-document count 48
+document count 47
 ```
 
 Similar to the normal search, you can also construct your body manually. The format is ndjson