Partner Showcase - Elastic (#2) - Too Much Turkey Tech Talk!

Continuing our Partner Showcase series with Elastic, this episode discusses data chunking, and how it relates to semantic search and natural language processing. Taking large documents and breaking them into smaller chunks of data (such as sentences or paragraphs) can improve semantic search by building vectors from these fragments. See how this applies in Elasticsearch in our "Too Much Turkey Tech Talk."

Links from the episode:

Chapters:
00:00:00 Intro
00:02:18 The problem space: size
00:04:15 Mappings and nested objects
00:05:37 Demo!
00:06:35 Demo: Regex in breaking up sentences
00:08:41 Demo: Building vectors from chunks
00:10:21 Demo: Viewing the data chunks and vectors
00:11:00 Demo: How this applies to generative AI and semantic search
00:11:41 Demo: Semantic / kNN (k-nearest neighbor) example
00:12:58 Wrap up, what's new in 8.11+
00:13:48 Roadmap for future sessions