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Merge pull request #2092 from pkudikyala/NR-164856-pg-embedding
Postgres Embedding new quickstart.
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slug: postgres-embedding | ||
description: | | ||
## Why should you monitor your usage of Postgres Embedding? | ||
Monitor your vector searches with Postgres Embedding 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 Postgres Embedding | ||
Track the behavior of Postgres Embedding. 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 Postgres Embedding | ||
By tracking key metrics like latency, throughput, error rates, and input & output, you can gain insights into your Postgres Embedding's performance and identify areas of improvement. | ||
### What’s included in this quickstart? | ||
Postgres Embedding monitoring quickstart provides a variety of pre-built dashboards, which will help you gain insights into the health and performance of your Postgres Embedding. These reports include: | ||
- Vector searches | ||
- Alerts for errors, search per vector store, and response time | ||
- Identify popular queries, sources, and content | ||
summary: | | ||
Monitor your Postgres Embedding's performance and quality with New Relic Postgres Embedding quickstart. | ||
icon: logo.png | ||
level: New Relic | ||
authors: | ||
- New Relic | ||
title: Postgres Embedding | ||
documentation: | ||
- name: Postgres Embedding integration documentation | ||
description: | | ||
Implement monitoring and instrumentation for your Postgres Embedding, 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: | ||
- pg embedding | ||
- postgres embedding | ||
- vector embedding | ||
- postgreSQL | ||
- timescaleDB | ||
- machine learning | ||
- artificial intelligence | ||
- AI | ||
- ML | ||
- NLP | ||
- CV | ||
- computer vision | ||
- image search | ||
- video search | ||
- text search | ||
- mlops | ||
- NR1_addData | ||
dashboards: | ||
- langchain-vectordb | ||
alertPolicies: | ||
- langchain-vectordb |
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