fixed text corrections as suggested

newrelic · Sep 20, 2023 · 4933202 · 4933202
1 parent b0dc370
commit 4933202
Show file tree

Hide file tree

Showing 6 changed files with 43 additions and 38 deletions.
diff --git a/quickstarts/anyscale/config.yml b/quickstarts/anyscale/config.yml
@@ -1,9 +1,9 @@
 slug: anyscale
 description: |
   ## Why should you monitor your usage of Anyscale?
-  Monitor your application powered by Anyscale language models to ensure, get visibility to what you send to Anyscale, responses received from Anyscale , latency, usage and errors. By monitoring the usage, you can infer the cost. 
-  ### Track the LLM's performance:  
-  Monitor the input & output, latency and errors of your LLM provider. Track performance changes with the providers and versions of your LLM.  Monitor usage to understand the cost, rate limits, and general performance.
+  Monitor your application powered by Anyscale language models to ensure, get visibility to what you send to Anyscale, responses received from Anyscale, latency, usage and errors. By monitoring the usage, you can infer the cost. 
+  ### Track the LLM's performance:
+  Monitor the input & output, latency and errors of your LLM provider. Track performance changes with the providers and versions of your LLM. Monitor usage to understand the cost, rate limits, and general performance.
   ### Track your app:
   By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your LangChain app's performance and identify areas of improvement. 
   ### Early issue detection:
@@ -12,29 +12,30 @@ description: |
   ## Comprehensive Anyscale monitoring quickstart
   Our Anyscale quickstart provides metrics including error rate, input & output, latency, queries, and lets you integrate with different language models.
 
-  ## What’s included in the Anyscale  quickstart?
-  New Relic Anyscale  monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Anyscale  usage. These reports include:
+  ## What’s included in the Anyscale quickstart?
+  New Relic Anyscale monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Anyscale usage. These reports include:
   - Dashboards (average tokens, LLM completion’s details, chain’s details, tool details, top tool names and many more)
   - Alerts (errors, request per model and response time)
 summary: |
-  Improve the visibility of your Anyscale  usage with New Relic Anyscale  quickstart.
+  Improve the visibility of your Anyscale usage with New Relic Anyscale quickstart.
 icon: logo.svg
 level:
   - New Relic
 authors:
   - New Relic
 title: Anyscale 
 documentation:
-  - name: Anyscale  integration documentation
+  - name: Anyscale integration documentation
     description: |
-      Implement monitoring and instrumentation for your Anyscale  app to ensure that your observability data is integrated into New Relic for effective performance analysis and insights.
+      Implement monitoring and instrumentation for your Anyscale app to 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
 keywords:
   - anyscale
   - large language model
   - natural language processing
+  - nlp
   - machine learning
   - artificial intelligence
   - ai

diff --git a/quickstarts/jina-ai/config.yml b/quickstarts/jina-ai/config.yml
@@ -1,9 +1,9 @@
 slug: jina-ai
 description: |
   ## Why should you monitor your usage of Jina AI?
-  Monitor your application powered by Jina AI language models to ensure, get visibility to what you send to Jina AI, responses received from Jina AI , latency, usage and errors. By monitoring the usage, you can infer the cost. 
-  ### Track the LLM's performance:  
-  Monitor the input & output, latency and errors of your LLM provider. Track performance changes with the providers and versions of your LLM.  Monitor usage to understand the cost, rate limits, and general performance.
+  Monitor your application powered by Jina AI language models to ensure, get visibility to what you send to Jina AI, responses received from Jina AI, latency, usage and errors. By monitoring the usage, you can infer the cost. 
+  ### Track the LLM's performance:
+  Monitor the input & output, latency and errors of your LLM provider. Track performance changes with the providers and versions of your LLM. Monitor usage to understand the cost, rate limits, and general performance.
   ### Track your app:
   By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your LangChain app's performance and identify areas of improvement. 
   ### Early issue detection:
@@ -12,29 +12,30 @@ description: |
   ## Comprehensive Jina AI monitoring quickstart
   Our Jina AI quickstart provides metrics including error rate, input & output, latency, queries, and lets you integrate with different language models.
 
-  ## What’s included in the Jina AI  quickstart?
-  New Relic Jina AI  monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Jina AI  usage. These reports include:
+  ## What’s included in the Jina AI quickstart?
+  New Relic Jina AI monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Jina AI usage. These reports include:
   - Dashboards (average tokens, LLM completion’s details, chain’s details, tool details, top tool names and many more)
   - Alerts (errors, request per model and response time)
 summary: |
-  Improve the visibility of your Jina AI  usage with New Relic Jina AI  quickstart.
+  Improve the visibility of your Jina AI usage with New Relic Jina AI quickstart.
 icon: logo.svg
 level:
   - New Relic
 authors:
   - New Relic
 title: Jina AI 
 documentation:
-  - name: Jina AI  integration documentation
+  - name: Jina AI integration documentation
     description: |
-      Implement monitoring and instrumentation for your Jina AI  app to ensure that your observability data is integrated into New Relic for effective performance analysis and insights.
+      Implement monitoring and instrumentation for your Jina AI app to 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
 keywords:
   - jina-ai
   - large language model
   - natural language processing
+  - nlp
   - machine learning
   - artificial intelligence
   - ai

diff --git a/quickstarts/myscale/config.yml b/quickstarts/myscale/config.yml
@@ -7,7 +7,7 @@ description: |
   ### 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 your app:  
+  ### 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.
 
 
@@ -47,6 +47,7 @@ keywords:
   - ai
   - chatbots
   - natural language processing
+  - nlp
   - machine learning
   - deep learning
   - aiops

diff --git a/quickstarts/ollama/config.yml b/quickstarts/ollama/config.yml
@@ -1,9 +1,9 @@
 slug: ollama
 description: |
   ## Why should you monitor your usage of Ollama?
-  Monitor your application powered by Ollama language models to ensure, get visibility to what you send to Ollama, responses received from Ollama , latency, usage and errors. By monitoring the usage, you can infer the cost. 
-  ### Track the LLM's performance:  
-  Monitor the input & output, latency and errors of your LLM provider. Track performance changes with the providers and versions of your LLM.  Monitor usage to understand the cost, rate limits, and general performance.
+  Monitor your application powered by Ollama language models to ensure, get visibility to what you send to Ollama, responses received from Ollama, latency, usage and errors. By monitoring the usage, you can infer the cost. 
+  ### Track the LLM's performance: 
+  Monitor the input & output, latency and errors of your LLM provider. Track performance changes with the providers and versions of your LLM. Monitor usage to understand the cost, rate limits, and general performance.
   ### Track your app:
   By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your LangChain app's performance and identify areas of improvement. 
   ### Early issue detection:
@@ -12,29 +12,30 @@ description: |
   ## Comprehensive Ollama monitoring quickstart
   Our Ollama quickstart provides metrics including error rate, input & output, latency, queries, and lets you integrate with different language models.
 
-  ## What’s included in the Ollama  quickstart?
-  New Relic Ollama  monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Ollama  usage. These reports include:
+  ## What’s included in the Ollama quickstart?
+  New Relic Ollama monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Ollama usage. These reports include:
   - Dashboards (average tokens, LLM completion’s details, chain’s details, tool details, top tool names and many more)
   - Alerts (errors, request per model and response time)
 summary: |
-  Improve the visibility of your Ollama  usage with New Relic Ollama  quickstart.
+  Improve the visibility of your Ollama usage with New Relic Ollama quickstart.
 icon: logo.png
 level:
   - New Relic
 authors:
   - New Relic
 title: Ollama 
 documentation:
-  - name: Ollama  integration documentation
+  - name: Ollama integration documentation
     description: |
-      Implement monitoring and instrumentation for your Ollama  app to ensure that your observability data is integrated into New Relic for effective performance analysis and insights.
+      Implement monitoring and instrumentation for your Ollama app to 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
 keywords:
   - ollama
   - large language model
   - natural language processing
+  - nlp
   - machine learning
   - artificial intelligence
   - ai

diff --git a/quickstarts/openllm/config.yml b/quickstarts/openllm/config.yml
@@ -1,9 +1,9 @@
 slug: openllm
 description: |
   ## Why should you monitor your usage of OpenLLM?
-  Monitor your application powered by OpenLLM language models to ensure, get visibility to what you send to OpenLLM, responses received from OpenLLM , latency, usage and errors. By monitoring the usage, you can infer the cost. 
-  ### Track the LLM's performance:  
-  Monitor the input & output, latency and errors of your LLM provider. Track performance changes with the providers and versions of your LLM.  Monitor usage to understand the cost, rate limits, and general performance.
+  Monitor your application powered by OpenLLM language models to ensure, get visibility to what you send to OpenLLM, responses received from OpenLLM, latency, usage and errors. By monitoring the usage, you can infer the cost. 
+  ### Track the LLM's performance:
+  Monitor the input & output, latency and errors of your LLM provider. Track performance changes with the providers and versions of your LLM. Monitor usage to understand the cost, rate limits, and general performance.
   ### Track your app:
   By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your LangChain app's performance and identify areas of improvement. 
   ### Early issue detection:
@@ -12,29 +12,30 @@ description: |
   ## Comprehensive OpenLLM monitoring quickstart
   Our OpenLLM quickstart provides metrics including error rate, input & output, latency, queries, and lets you integrate with different language models.
 
-  ## What’s included in the OpenLLM  quickstart?
-  New Relic OpenLLM  monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your OpenLLM  usage. These reports include:
+  ## What’s included in the OpenLLM quickstart?
+  New Relic OpenLLM monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your OpenLLM usage. These reports include:
   - Dashboards (average tokens, LLM completion’s details, chain’s details, tool details, top tool names and many more)
   - Alerts (errors, request per model and response time)
 summary: |
-  Improve the visibility of your OpenLLM  usage with New Relic OpenLLM  quickstart.
+  Improve the visibility of your OpenLLM usage with New Relic OpenLLM quickstart.
 icon: logo.jpeg
 level:
   - New Relic
 authors:
   - New Relic
 title: OpenLLM 
 documentation:
-  - name: OpenLLM  integration documentation
+  - name: OpenLLM integration documentation
     description: |
-      Implement monitoring and instrumentation for your OpenLLM  app to ensure that your observability data is integrated into New Relic for effective performance analysis and insights.
+      Implement monitoring and instrumentation for your OpenLLM app to 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
 keywords:
   - openllm
   - large language model
   - natural language processing
+  - nlp
   - machine learning
   - artificial intelligence
   - ai

diff --git a/quickstarts/starrocks/config.yml b/quickstarts/starrocks/config.yml
@@ -7,20 +7,20 @@ description: |
   ### 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 your app:  
+  ### 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 LangChain 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:
-  
+  StarRocks uses the LangChain Vector Database to connect to New Relic. This quickstart provides a variety of a pre-built dashboard, which will help you gain insights into the health and performance of your AI 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 StarRocks quickstart.
+  Monitor the performance and quality of your vector searches with New Relic SingleStoreDB quickstart.
 icon: logo.png
 level: New Relic
 authors:
@@ -29,7 +29,7 @@ title: StarRocks
 documentation:
   - name: LangChain Vector Database 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 vector data 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