Merge pull request #2088 from RamanaReddy8801/NR-164855

MongoDB Atlas Vector Search Quickstart

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

@@ -0,0 +1,57 @@
+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