diff --git a/alerting/src/main/kotlin/org/opensearch/alerting/DocumentLevelMonitorRunner.kt b/alerting/src/main/kotlin/org/opensearch/alerting/DocumentLevelMonitorRunner.kt
index ab90d29ad..39a359639 100644
--- a/alerting/src/main/kotlin/org/opensearch/alerting/DocumentLevelMonitorRunner.kt
+++ b/alerting/src/main/kotlin/org/opensearch/alerting/DocumentLevelMonitorRunner.kt
@@ -23,6 +23,7 @@ import org.opensearch.alerting.model.userErrorMessage
 import org.opensearch.alerting.opensearchapi.suspendUntil
 import org.opensearch.alerting.script.DocumentLevelTriggerExecutionContext
 import org.opensearch.alerting.settings.AlertingSettings.Companion.PERCOLATE_QUERY_DOCS_SIZE_MEMORY_PERCENTAGE_LIMIT
+import org.opensearch.alerting.settings.AlertingSettings.Companion.PERCOLATE_QUERY_MAX_NUM_DOCS_IN_MEMORY
 import org.opensearch.alerting.util.AlertingException
 import org.opensearch.alerting.util.IndexUtils
 import org.opensearch.alerting.util.defaultToPerExecutionAction
@@ -663,7 +664,10 @@ object DocumentLevelMonitorRunner : MonitorRunner() {
                     e
                 )
             }
-            if (transformedDocs.isNotEmpty() && isInMemoryDocsSizeExceedingMemoryLimit(docsSizeInBytes.get(), monitorCtx)) {
+            if (
+                transformedDocs.isNotEmpty() &&
+                shouldPerformPercolateQueryAndFlushInMemoryDocs(docsSizeInBytes, transformedDocs.size, monitorCtx)
+            ) {
                 performPercolateQueryAndResetCounters(
                     monitorCtx,
                     transformedDocs,
@@ -679,6 +683,15 @@ object DocumentLevelMonitorRunner : MonitorRunner() {
         }
     }
 
+    private fun shouldPerformPercolateQueryAndFlushInMemoryDocs(
+        docsSizeInBytes: AtomicLong,
+        numDocs: Int,
+        monitorCtx: MonitorRunnerExecutionContext,
+    ): Boolean {
+        return isInMemoryDocsSizeExceedingMemoryLimit(docsSizeInBytes.get(), monitorCtx) ||
+            isInMemoryNumDocsExceedingMaxDocsPerPercolateQueryLimit(numDocs, monitorCtx)
+    }
+
     private suspend fun performPercolateQueryAndResetCounters(
         monitorCtx: MonitorRunnerExecutionContext,
         transformedDocs: MutableList<Pair<String, TransformedDocDto>>,
@@ -918,15 +931,17 @@ object DocumentLevelMonitorRunner : MonitorRunner() {
      */
     private fun isInMemoryDocsSizeExceedingMemoryLimit(docsBytesSize: Long, monitorCtx: MonitorRunnerExecutionContext): Boolean {
         var thresholdPercentage = PERCOLATE_QUERY_DOCS_SIZE_MEMORY_PERCENTAGE_LIMIT.get(monitorCtx.settings)
-        if (thresholdPercentage > 100 || thresholdPercentage < 0) {
-            thresholdPercentage = PERCOLATE_QUERY_DOCS_SIZE_MEMORY_PERCENTAGE_LIMIT.getDefault(monitorCtx.settings)
-        }
         val heapMaxBytes = monitorCtx.jvmStats!!.mem.heapMax.bytes
         val thresholdBytes = (thresholdPercentage.toDouble() / 100.0) * heapMaxBytes
 
         return docsBytesSize > thresholdBytes
     }
 
+    private fun isInMemoryNumDocsExceedingMaxDocsPerPercolateQueryLimit(numDocs: Int, monitorCtx: MonitorRunnerExecutionContext): Boolean {
+        var maxNumDocsThreshold = PERCOLATE_QUERY_MAX_NUM_DOCS_IN_MEMORY.get(monitorCtx.settings)
+        return numDocs >= maxNumDocsThreshold
+    }
+
     /**
      * POJO holding information about each doc's concrete index, id, input index pattern/alias/datastream name
      * and doc source. A list of these POJOs would be passed to percolate query execution logic.
diff --git a/alerting/src/main/kotlin/org/opensearch/alerting/settings/AlertingSettings.kt b/alerting/src/main/kotlin/org/opensearch/alerting/settings/AlertingSettings.kt
index 54d5d5b82..c7d571824 100644
--- a/alerting/src/main/kotlin/org/opensearch/alerting/settings/AlertingSettings.kt
+++ b/alerting/src/main/kotlin/org/opensearch/alerting/settings/AlertingSettings.kt
@@ -31,6 +31,20 @@ class AlertingSettings {
         val PERCOLATE_QUERY_DOCS_SIZE_MEMORY_PERCENTAGE_LIMIT = Setting.intSetting(
             "plugins.alerting.monitor.percolate_query_docs_size_memory_percentage_limit",
             10,
+            0,
+            100,
+            Setting.Property.NodeScope, Setting.Property.Dynamic
+        )
+
+        /** Defines the threshold of the maximum number of docs accumulated in memory to query against percolate query index in document
+         * level monitor execution. The docs are being collected from searching on shards of indices mentioned in the
+         * monitor input indices field. When the number of in-memory docs reaches or exceeds threshold we immediately perform percolate
+         * query with the current set of docs and clear the cache and repeat the process till we have queried all indices in current
+         * execution
+         */
+        val PERCOLATE_QUERY_MAX_NUM_DOCS_IN_MEMORY = Setting.intSetting(
+            "plugins.alerting.monitor.percolate_query_max_num_docs_in_memory",
+            10000, 1000,
             Setting.Property.NodeScope, Setting.Property.Dynamic
         )