JV

Jeff Vestal

Principal Customer Enterprise Architect

About the author

Principal Customer Enterprise Architect

Jeff Vestal is Sr. Systems Engineer at E*Trade working in the Real-Time Data Pipeline group. He led the initiative to setup elastic’s Machine Learning and created an elastic slackbot integration.

Over ten years ago he started working with individual prop traders and market makers then moving to commercial online brokerages where the focus is bringing the best trading experience to hundreds of thousands of customers. Throughout, he has worked to ensure all types of data, financial transaction, performance metrics, and logs, get to their destination on-time while creating robust monitoring and alerting to allow for quick notification, response, and resolution when incidents occur.

Author’s articles

Elasticsearch open inference API adds support for Google AI Studio

September 27, 2024

Elasticsearch open inference API adds support for Google AI Studio

Elasticsearch open inference API adds support for Google AI Studio

Quickly create RAG apps with Vertex AI Gemini models and Elasticsearch playground

September 27, 2024

Quickly create RAG apps with Vertex AI Gemini models and Elasticsearch playground

Quickly create RAG apps with Vertex AI Gemini models and Elasticsearch playground

ChatGPT and Elasticsearch revisited: The RAG really tied the app together

August 19, 2024

ChatGPT and Elasticsearch revisited: The RAG really tied the app together

Learn how to create a chatbot using ChatGPT and Elasticsearch, utilizing all of the newest RAG features.

Introducing Retrievers - Search All the Things!

May 28, 2024

Introducing Retrievers - Search All the Things!

Learn about Elasticsearch retrievers, including Standard, kNN, text_expansion, and RRF. Discover how to use retrievers with examples.

Elastic Cloud adds Elasticsearch Vector Database optimized profile to Microsoft Azure

Elastic Cloud adds Elasticsearch Vector Database optimized profile to Microsoft Azure

Elasticsearch added a new vector search optimized profile to Elastic Cloud on Microsoft Azure. Get started and learn how to use it here.

RAG & RBAC integration: Protect data and boost AI capabilities

May 8, 2024

RAG & RBAC integration: Protect data and boost AI capabilities

Discover how Retrieval Augmented Generation (RAG) & Role-Based Access Control (RBAC) integrate to protect data and boost AI capabilities.

Elastic Cloud adds Elasticsearch Vector Database optimized instance to Google Cloud

Elastic Cloud adds Elasticsearch Vector Database optimized instance to Google Cloud

Elasticsearch's vector search optimized profile for GCP is available. Learn more about it and how to use it in this blog.

Vector search & kNN implementation guide - API edition

November 17, 2023

Vector search & kNN implementation guide - API edition

Learn how to implement vector search and kNN using the Elasticsearch APIs via HTTP or Python.

Elasticsearch as a GenAI caching layer

Elasticsearch as a GenAI caching layer

Explore how integrating Elasticsearch as a caching layer optimizes Generative AI performance by reducing token costs and response times, demonstrated through real-world testing and practical examples.

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