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Merge pull request #2188 from RamanaReddy8801/NR-159537
Rockset Quickstart
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quickstarts/rockset/config.yml

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slug: rockset
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description: |
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## Why should you monitor your usage of Rockset?
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Monitor your vector searches on Rockset to get visibility on what you send to Rockset, responses retrieved from Rockset, latency, usage and errors.
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### Track the query performance of your Rockset
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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.
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### Track your app:
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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.
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### What’s included in this quickstart?
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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:
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- Vector searches
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- Alerts for errors, search per vector store, and response time
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- Identify popular queries, sources, and content
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summary: |
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Monitor your Vector search's performance and quality with New Relic Rockset quickstart.
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icon: logo.png
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level: New Relic
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authors:
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- New Relic
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title: Rockset
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documentation:
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- name: Rockset integration documentation
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description: |
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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.
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url: https://github.com/newrelic/nr-openai-observability
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dataSourceIds:
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- langchain-vectordb
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keywords:
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- langchain
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- vector store
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- rockset
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- vector search
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- vectordb
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- vector db
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- rock set
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- rockset ai
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- ai
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- machine learning
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- big data
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- data science
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- data engineering
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- cloud computing
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- data visualization
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- artificial intelligence
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- mlops
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- NR1_addData
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dashboards:
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- langchain-vectordb
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alertPolicies:
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- langchain-vectordb

quickstarts/rockset/logo.png

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