E
Embeddings
Indexing
Sifting through hundreds of thousands of hours of indexed videos
Embeddings
Sifting through hundreds of thousands of hours of indexed videos
Embeddings
Arcmira media summary
Explore podcasts, interviews & explainers on Embeddings — 9 indexed from AI Native Dev & Neo4j, updated Nov 2025.
The process of converting data (like dog descriptions) into numerical vectors for similarity searches.
discovering limitations of embeddings
embeddings were not really a concept that very popularized
We use this word embeddings which has confused me forever. It's like not a not a native term for me but basically take all of that information and transform it into a way a computer can understand
Strategy for organizing data for AI, along with cross-tagging.
Arcmira tracks 9 indexed media appearances or mentions for Embeddings, tied to source videos, channels, and transcript-derived context.
Arcmira uses indexed YouTube videos and transcripts. Representative source evidence on this page includes "DevCon Fall 2025 | Josh Long & James Ward - Building AI Agents with Spring & MCP" with transcript-derived context and links when available.
Embeddings is connected to AI, Google, Amazon in Arcmira's media graph.
9
Mentions
395.3K
Views
The trendline is visible, but the dated evidence behind Embeddings is in the premium layer.
“The process of converting data (like dog descriptions) into numerical vectors for similarity searches.”
“embeddings were not really a concept that very popularized”
“We use this word embeddings which has confused me forever. It's like not a not a native term for me but basically take all of that information and transform it into a way a computer can understand”
“Strategy for organizing data for AI, along with cross-tagging.”