How to build an AI RAG in 8.14 Elastic with Eric Cobb

Nathan Stacey and Eric Cobb discuss a demo showcasing the use of AI in Elastic. Eric explains how Elastic is a data platform that can handle structured and unstructured data, and demonstrates how they can extract insights from unstructured text data using generative AI. The demo focuses on analyzing news articles related to fentanyl arrests and visualizing the data on a map. Nathan also highlights the scalability and speed of Elastic, as well as the new AI capabilities introduced in version 8.14.

Takeaways

• Elastic is a data platform that can handle structured and unstructured data
• Generative AI can be used to extract insights from unstructured text data
• The demo showcased the analysis of news articles related to fentanyl arrests and visualizing the data on a map
• Elastic is scalable and can handle large amounts of data with sub-second response time
• Version 8.14 introduced new AI capabilities, including the ability to ask questions and receive answers from the data

• Using AI to Extract Insights from Unstructured Data in Elastic
• Analyzing Fentanyl Arrests with Elastic's Data Platform and AI

Quotes:

• "We are a data platform, data is data to us. It doesn't matter if it's structured or unstructured."
• "Elastic wanted to show that you can analyze any kind of data, not just security or telemetry based."
• "Elastic has made it easy to get generative AI insights from your data, even without being a developer."

Chapters

00:00 Introduction and Background

01:17 Elastic's Efforts in the Government Sector

05:48 Demo: Enriching and Analyzing Data

12:57 Demo: AI Capabilities and Natural Language Questions

15:06 Demo: Geospatial Analysis and Visualization

23:39 Playground: Making AI Accessible to Non-Developers

28:05 Feedback and Future Improvements