Merge pull request #2117 from pkudikyala/NR-171181-elastic-vector-search

fix(elastic-vector-search): Updated the documentation name in the config file.

quickstarts/elastic-vector-search/config.yml

@@ -3,35 +3,33 @@ id: 3619a864-7d96-4a6a-9900-758c7e380ec7
 slug: elastic-vector-search
 description: |
   ## Why should you monitor your usage of Elastic Vector Search?
+  Monitor your vector searches with Elastic 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.
 
-  Monitor your vector searches on Elastic Vector Search to get visibility on what you send to Elastic Vector Search, responses retrieved from Elastic Vector Search, latency, usage and errors. 
-
-  ### Track the query performance of your Vector DB
-  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 the query performance of Elastic Vector Search
+  Track the behavior of your Elastic 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 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.
+  ### Track the health of Elastic Vector Search
+  By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into Elastic Vector Search's performance and identify areas of improvement.
 
 
   ### What’s included in this quickstart?
-
-  Elastic Vector Search uses New Relic Langchain monitoring which provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Elastic Vector Search app. These reports include:
+  New Relic Elastic Vector Search monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Elastic Vector Search. 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 Elastic Vector Search quickstart.
+  Monitor your Elastic Vector Search's performance and quality with New Relic Elastic Vector Search quickstart.
 icon: logo.png
 level: New Relic
 authors:
   - New Relic
 title: Elastic Vector Search
 documentation:
-  - name: LangChain Vector Database integration documentation
+  - name: Elastic Vector Search 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.
+      Implement monitoring and instrumentation for your Elastic 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