Merge branch 'main' into nr-172312-dojo-datasource-update

data-sources/jira-errors-inbox/config.yml

@@ -3,6 +3,9 @@ displayName: Atlassian Jira for Errors Inbox
 description: Integrated errors inbox with Atlassian Jira (cloud) to easily create tickets for your errors.
 install:
   primary:
-    link:
-      url: https://docs.newrelic.com/docs/errors-inbox/errors-inbox/#jira
+    nerdlet:
+      nerdletId: marketplace.install-data-source
+      nerdletState:
+        dataSourceId: jira-errors-inbox
+      requiresAccount: false
 icon: logo.svg

data-sources/nextcloud/config.yml

@@ -4,6 +4,9 @@ description: |
   Use our infrastructure agent and the Prometheus open metric integration to monitor the performance of the processes on your Nextcloud server.
 install:
   primary:
-    link:
-      url: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/nextcloud-integration/
+    nerdlet:
+      nerdletId: marketplace.install-data-source
+      nerdletState:
+        dataSourceId: nextcloud
+      requiresAccount: false
 icon: logo.png

quickstarts/docarray-hnswsearch/config.yml

@@ -0,0 +1,54 @@
+id: 9127f544-8f32-4250-9d2f-2b4be09e281d
+slug: docarray-hnswsearch
+description: |
+  ## Why should you monitor your usage of DocArray HnswSearch?
+  Monitor your vector searches with DocArray HnswSearch to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors.
+
+  ### Track the query performance of DocArray HnswSearch
+  Track the behavior of DocArray HnswSearch. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance.
+
+  ### Track the health of DocArray HnswSearch:  
+  By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into DocArray HnswSearch's performance and identify areas of improvement.
+
+  ## Comprehensive monitoring quickstart for DocArray HnswSearch
+  DocArray HnswSearch quickstart provides metrics including Identify popular queries, sources, and content.
+
+  ## What’s included in this quickstart?
+  New Relic DocArray HnswSearch monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your DocArray HnswSearch. These reports include:
+  - Vector searches
+  - Alerts for errors, search per vector store, and response time
+  - Identify popular queries, sources, and content
+summary: |
+  Monitor your Vector search's performance and quality with New Relic DocArray HnswSearch quickstart
+icon: logo.svg
+level:
+  - New Relic
+authors:
+  - New Relic
+  - Ramana Reddy
+title: DocArray HnswSearch
+documentation:
+  - name: DocArray HnswSearch integration documentation
+    description: |
+      Implement monitoring and instrumentation for DocArray HnswSearch, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights.
+    url: https://github.com/newrelic/nr-openai-observability
+dataSourceIds:
+  - langchain-vectordb
+keywords:
+  - DocArray
+  - HnswSearch
+  - text search
+  - image search
+  - video search
+  - AI
+  - machine learning
+  - open source
+  - Hnsw Search
+  - Doc Array
+  - vector search
+  - mlops
+  - NR1_addData
+alertPolicies:
+  - langchain-vectordb
+dashboards:
+  - langchain-vectordb

quickstarts/mongodb-atlas-vector-search/config.yml

@@ -0,0 +1,58 @@
+id: 5f20a4e7-c554-44dd-8077-7f7d43456915
+slug: mongodb-atlas-vector-search
+description: |
+  ## Why should you monitor your usage of MongoDB Atlas Vector Search?
+  Monitor your vector searches with MongoDB Atlas Vector Search to gain insights into the data you're sending to it, the responses you're receiving, the latency, usage, and any potential errors.
+
+  ### Track the query performance of MongoDB Atlas Vector Search
+  Track the behavior of MongoDB Atlas Vector Search. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance.
+
+  ### Track the health of MongoDB Atlas Vector Search:  
+  By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into MongoDB Atlas Vector Search's performance and identify areas of improvement.
+
+  ## Comprehensive monitoring quickstart for MongoDB Atlas Vector Search
+  MongoDB Atlas Vector Search quickstart provides metrics including Identify popular queries, sources, and content.
+
+  ## What’s included in this quickstart?
+  New Relic MongoDB Atlas Vector Search monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your MongoDB Atlas Vector Search app. These reports include:
+  - Vector searches
+  - Alerts for errors, search per vector store, and response time
+  - Identify popular queries, sources, and content
+summary: |
+  Monitor your Vector search's performance and quality with New Relic MongoDB Atlas Vector Search quickstart
+icon: logo.svg
+level:
+  - New Relic
+authors:
+  - New Relic
+  - Ramana Reddy
+title: MongoDB Atlas Vector Search
+documentation:
+  - name: MongoDB Atlas Vector Search integration documentation
+    description: |
+      Implement monitoring and instrumentation for MongoDB Atlas Vector Search, and ensure that your observability data is integrated into New Relic for effective performance analysis and insights.
+    url: https://github.com/newrelic/nr-openai-observability
+dataSourceIds:
+  - langchain-vectordb
+keywords:
+  - mongodb
+  - atlas vector search
+  - mongodb atlas vector search
+  - vector search
+  - vector database
+  - cloud-based vector search
+  - managed vector search
+  - machine learning
+  - artificial intelligence
+  - AI
+  - ML
+  - NLP
+  - CV
+  - text search
+  - image search
+  - video search
+  - product search
+alertPolicies:
+  - langchain-vectordb
+dashboards:
+  - langchain-vectordb