This blog presents a novel application of the Elasticsearch Relevance Engine (ESRE) with its Elastic Learned Sparse Encoder capability, specifically in log analysis.

How does the Elastic Learned Sparse Encoder work?

Setting it all up

Step 0: Create an account on Elastic Cloud

Step 1: Install the Elastic Learned Sparse Encoder model

Step 2: Modify the index template

Step 3: Add a custom ingest pipeline

Step 4: Rollover the index

Step 5: Welcome to semantic search with logs

Step 6: Wiring this up to ChatGPT

Superior relevance out of the box for SREs

Logs: Understanding TLS errors with ESRE and generative AI

Get ready to be blown away by this game-changing approach to monitoring cutting-edge ChatGPT applications! As the ChatGPT phenomenon takes the world by storm, it's time to supercharge your monitoring game with OpenTelemetry and Elastic Observability.

OpenAI APIs to the rescue

OpenTelemetry to the rescue

Set up Elastic Cloud account (if you already don’t have one)

Monkeying around

Elastic to the rescue

Summary

Monitor OpenAI API and GPT models with OpenTelemetry and Elastic

Author

David Hope

Articles

Logs: Understanding TLS errors with ESRE and generative AI

Monitor OpenAI API and GPT models with OpenTelemetry and Elastic