-
Notifications
You must be signed in to change notification settings - Fork 301
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #2077 from pkudikyala/NR-164847-DocArray-InMemoryS…
…earch DocArray new quickstart.
- Loading branch information
Showing
2 changed files
with
57 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,57 @@ | ||
|
||
slug: docarray-inmemorysearch | ||
description: | | ||
## Why should you monitor your usage of Doc Array InMemorySearch? | ||
Monitor your vector searches on Doc Array InMemorySearch to get visibility on what you send to Doc Array InMemorySearch, responses retrieved from Doc Array InMemorySearch, 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 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: | ||
- 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 Doc Array InMemorySearch quickstart. | ||
icon: logo.png | ||
level: New Relic | ||
authors: | ||
- New Relic | ||
title: Doc Array InMemorySearch | ||
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. | ||
url: https://github.com/newrelic/nr-openai-observability | ||
dataSourceIds: | ||
- langchain-vectordb | ||
keywords: | ||
- doc array | ||
- vector search | ||
- in memory search | ||
- in-memory search | ||
- in memory | ||
- document search | ||
- multimodal search | ||
- open source | ||
- python | ||
- machine learning | ||
- artificial intelligence | ||
- AI | ||
- ML | ||
- NLP | ||
- mlops | ||
- NR1_addData | ||
dashboards: | ||
- langchain-vectordb | ||
alertPolicies: | ||
- langchain-vectordb |
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.