diff --git a/build.sbt b/build.sbt
index 3de16c312..bdd107b00 100644
--- a/build.sbt
+++ b/build.sbt
@@ -6,7 +6,7 @@ Global / scalaVersion := "3.3.3"
 Global / scalacOptions += "-explain"
 
 lazy val CirceVersion = "0.14.6"
-lazy val ElasticsearchVersion = "8.12.2"
+lazy val ElasticsearchVersion = "8.13.0"
 lazy val Elastic4sVersion = "8.11.5"
 lazy val ElastiknnVersion = IO.read(file("version")).strip()
 lazy val LuceneVersion = "9.9.1"
diff --git a/development/README.md b/development/README.md
index 844d9e66b..67ef1d433 100644
--- a/development/README.md
+++ b/development/README.md
@@ -57,14 +57,18 @@ This makes it relatively easy to run tests, generate docs, publish artifacts, et
 
 ### IDE
 
-I recommend using IntelliJ Idea to work on the Gradle projects and Pycharm to work on the client-python project.
-
-Install the IntelliJ Scala plugin, and then IntelliJ will recognize the SBT project when you open the `elastiknn` directory.
-
-PyCharm can be a bit of a different story. 
-You should first create a virtual environment in `client-python/venv`.
-You can do this by running `task pyVenv`. Even if the tests fail, it will still create the virtual environment.
-Then you should setup PyCharm to use the interpreter in `client-python/venv`. 
+I recommend using IntelliJ Idea to work on the SBT projects and Pycharm to work on the client-python project.
+
+For IntelliJ, install the IntelliJ Scala plugin and open the `elastiknn` directory in IntelliJ.
+IntelliJ should recognize the SBT project.
+You might have to specify the JDK and Scala SDK; as of April 2024, we're using JDK 21 and Scala 3.3.3.
+Since early 2023, we're also using some experimental JDK features which also require some additional settings.
+Go to Settings > Build, Execution, Deployment > Java Compiler, and add `--add-modules jdk.incubator.vector --add-exports java.base/jdk.internal.vm.vector=ALL-UNNAMED --add-exports java.base/jdk.internal.vm.annotation=ALL-UNNAMED` to the "Additional command line parameters".
+Then go to Settings > Build, Execution, Deployment > Scala Compiler, and add the same parameters in the "Additional compiler options".
+
+For Python and Pycharm, you should first create a virtual environment in `client-python/venv`.
+You can do this by running `task pyCreateVenv`.
+Then you should configure PyCharm to use the interpreter in `client-python/venv`.
 
 ### Testing
 
diff --git a/docker/Dockerfile b/docker/Dockerfile
index b145f29c0..1a175d014 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -1,3 +1,3 @@
-FROM docker.elastic.co/elasticsearch/elasticsearch:8.12.2
+FROM docker.elastic.co/elasticsearch/elasticsearch:8.13.0
 COPY elastiknn-plugin/target/elastiknn*.zip .
 RUN elasticsearch-plugin install -b file:$(ls elastiknn*zip | sort | tail -n1)
diff --git a/docs/pages/installation.md b/docs/pages/installation.md
index 0bd08adb5..24c679b20 100644
--- a/docs/pages/installation.md
+++ b/docs/pages/installation.md
@@ -42,8 +42,8 @@ Make a Dockerfile like below.
 The image version (`elasticsearch:A.B.C`) must match the plugin's version (e.g. `A.B.C.x/elastiknn-A.B.C.x`).
 
 ```docker
-FROM docker.elastic.co/elasticsearch/elasticsearch:8.12.2
-RUN elasticsearch-plugin install --batch https://github.com/alexklibisz/elastiknn/releases/download/8.12.2.1/elastiknn-8.12.2.1.zip
+FROM docker.elastic.co/elasticsearch/elasticsearch:8.13.0
+RUN elasticsearch-plugin install --batch https://github.com/alexklibisz/elastiknn/releases/download/8.13.0.0/elastiknn-8.13.0.0.zip
 ```
 
 Build and run the Dockerfile. If you have any issues please refer to the [official docs.](https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html)
diff --git a/docs/pages/performance/fashion-mnist/plot.b64 b/docs/pages/performance/fashion-mnist/plot.b64
index 1d85c68a7..e7050c02f 100644
--- a/docs/pages/performance/fashion-mnist/plot.b64
+++ b/docs/pages/performance/fashion-mnist/plot.b64
@@ -1 +1 @@
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
\ No newline at end of file
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
\ No newline at end of file
diff --git a/docs/pages/performance/fashion-mnist/plot.png b/docs/pages/performance/fashion-mnist/plot.png
index 63376c164..85e0b4e14 100644
Binary files a/docs/pages/performance/fashion-mnist/plot.png and b/docs/pages/performance/fashion-mnist/plot.png differ
diff --git a/docs/pages/performance/fashion-mnist/results.md b/docs/pages/performance/fashion-mnist/results.md
index 83b1fe79b..e52ff7a5c 100644
--- a/docs/pages/performance/fashion-mnist/results.md
+++ b/docs/pages/performance/fashion-mnist/results.md
@@ -1,10 +1,10 @@
 |Model|Parameters|Recall|Queries per Second|
 |---|---|---|---|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.379|392.939|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.447|334.503|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.635|308.154|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.717|270.359|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|347.401|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|296.976|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.922|238.273|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|210.018|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.378|383.334|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.446|324.105|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.635|304.168|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.716|262.273|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|339.240|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|291.800|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.921|232.473|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|206.758|
diff --git a/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/ElasticsearchQueryBuilder.scala b/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/ElasticsearchQueryBuilder.scala
index 5dde38c2b..897b99385 100644
--- a/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/ElasticsearchQueryBuilder.scala
+++ b/elastiknn-plugin/src/main/scala/com/klibisz/elastiknn/query/ElasticsearchQueryBuilder.scala
@@ -2,14 +2,14 @@ package com.klibisz.elastiknn.query
 
 import com.google.common.io.BaseEncoding
 import com.klibisz.elastiknn.ElastiknnException.ElastiknnRuntimeException
-import com.klibisz.elastiknn.api._
+import com.klibisz.elastiknn.api.*
 import com.klibisz.elastiknn.{ELASTIKNN_NAME, api}
 import org.apache.lucene.search.Query
 import org.elasticsearch.action.ActionListener
-import org.elasticsearch.action.get.{GetAction, GetRequest, GetResponse}
+import org.elasticsearch.action.get.{GetRequest, GetResponse}
 import org.elasticsearch.client.internal.Client
 import org.elasticsearch.common.io.stream.{StreamInput, StreamOutput, Writeable}
-import org.elasticsearch.index.query._
+import org.elasticsearch.index.query.*
 import org.elasticsearch.xcontent.{ToXContent, XContentBuilder, XContentParser}
 import org.elasticsearch.{ElasticsearchException, ResourceNotFoundException, TransportVersion, TransportVersions}
 
@@ -124,8 +124,7 @@ final class ElasticsearchQueryBuilder(val query: NearestNeighborsQuery, elastikn
 
     // Request the actual document in order to construct the query
     c.registerAsyncAction((client: Client, listener: ActionListener[_]) => {
-      client.execute(
-        GetAction.INSTANCE,
+      client.get(
         new GetRequest(ixv.index, ixv.id),
         new ActionListener[GetResponse] {
           override def onResponse(response: GetResponse): Unit = {
diff --git a/version b/version
index e9be7ee67..4cf144e92 100644
--- a/version
+++ b/version
@@ -1 +1 @@
-8.12.2.1
\ No newline at end of file
+8.13.0.0
\ No newline at end of file