From 5892a977ba40acd3695a36e9f5ce3a968f12df30 Mon Sep 17 00:00:00 2001 From: jsurampudi Date: Tue, 9 Jan 2024 12:16:49 +0530 Subject: [PATCH] Pinecone(LangChain) Quickstart --- quickstarts/pinecone-langchain/config.yml | 45 ++++++++++++++++++++++ quickstarts/pinecone-langchain/logo.png | Bin 0 -> 42532 bytes 2 files changed, 45 insertions(+) create mode 100644 quickstarts/pinecone-langchain/config.yml create mode 100644 quickstarts/pinecone-langchain/logo.png diff --git a/quickstarts/pinecone-langchain/config.yml b/quickstarts/pinecone-langchain/config.yml new file mode 100644 index 0000000000..d5cd136096 --- /dev/null +++ b/quickstarts/pinecone-langchain/config.yml @@ -0,0 +1,45 @@ +slug: pinecone-langchain +description: | + ## Why should you monitor your usage of Pinecone LangChain? + Monitor your vector searches on Pinecone LangChain to get visibility on what you send to Pinecone LangChain, responses retrieved from Pinecone LangChain, 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 Pinecone LangChain quickstart. +icon: logo.png +level: New Relic +authors: + - New Relic +title: Pinecone LangChain +documentation: + - name: Pinecone LangChain 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: + - langchain + - vector store + - pinecone-langchain + - vector search + - vectordb + - vector db + - mlops + - NR1_addData +dashboards: + - langchain-vectordb +alertPolicies: + - langchain-vectordb \ No newline at end of file diff --git a/quickstarts/pinecone-langchain/logo.png b/quickstarts/pinecone-langchain/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..240e64b569d94a9a5107c65de9f59eaa25c60701 GIT binary patch literal 42532 zcmV*6Ky$xRNk&E-rT_p}MM6+kP&iBvrT_ph^TB)ojW}}KMv`DVv&!}V2lslLIY#t< z0`wCi%d#xXvMkH;k-7aqfUZbay4o{|G#6G+C4uod+UFd70<_mOJ5f92b7{S*0!cjY zBwU$!tyTDhnKr$`yk5^|p+G-ndycl!@E($IgQRNIc`D&tca9~>4Fa@@1Om}BLPn;* 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