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+slug: rockset
+description: |
+  ## Why should you monitor your usage of Rockset?
+
+  Monitor your vector searches on Rockset to get visibility on what you send to Rockset, responses retrieved from Rockset, latency, usage and errors. 
+
+  ### Track the query performance of Rockset
+  Track the behavior of your vector stores. Monitor the latency, queries, the number of documents retrieved, and the content of the documents so that you can evaluate their relevance.
+ 
+  ### Track your app:  
+  By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your app's performance and identify areas of improvement.
+
+
+  ### What’s included in this quickstart?
+
+  New Relic Rockset monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your LangChain 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 Rockset quickstart.
+icon: logo.png
+level: New Relic
+authors:
+  - New Relic
+title: Rockset
+documentation:
+  - name: Rockset integration documentation
+    description: |
+      Implement monitoring and instrumentation for your Vector store, 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:
+  - langchain
+  - vector store
+  - rockset
+  - vector search
+  - vectordb
+  - vector db
+  - rock set
+  - rockset ai
+  - ai
+  - machine learning
+  - big data
+  - data science
+  - data engineering
+  - cloud computing
+  - data visualization
+  - artificial intelligence
+  - mlops
+  - NR1_addData
+dashboards:
+  - langchain-vectordb
+alertPolicies:
+  - langchain-vectordb
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