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RAGChat: Monitoring and tracing LLM calls

Microsoft Reactor
106K subscribers
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942 views Streamed 1 month ago #MicrosoftReactor #learnconnectbuild #RAGDeepDive
JUMP TO CONTENT - 00:06:28 In this series, we dive deep into our most popular, fully-featured, and open-source RAG solution: https://aka.ms/ragchat When your RAG app is in production, observability is crucial. You need to know about performance issues, runtime errors, and LLM-specific issues like Content Safety filter violations. In this session, learn how to use Azure Monitor along with OpenTelemetry SDKs to monitor the RAG application. This session is a part of a series! To learn more, click here: https://aka.ms/RAGDeepDive šŸ“Œ Get more RAG resources: https://aka.ms/thesource/github/yt #MicrosoftReactor #learnconnectbuild #RAGDeepDive [eventID:24579] ...more
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RAGChat: Monitoring and tracing LLM calls
JUMP TO CONTENT - 00:06:28 In this series, we dive deep into our most popular, fully-featured, and open-source RAG solution: https://aka.ms/ragchat When your RAG app is in production, observability is crucial. You need to know about performance issues, runtime errors, and LLM-specific issues like Content Safety filter violations. In this session, learn how to use Azure Monitor along with OpenTelemetry SDKs to monitor the RAG application. This session is a part of a series! To learn more, click here: https://aka.ms/RAGDeepDive šŸ“Œ Get more RAG resources: https://aka.ms/thesource/github/yt #MicrosoftReactor #learnconnectbuild #RAGDeepDive [eventID:24579]

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Microsoft Reactor

106K subscribers