Stop Using The Wrong Embedding

Stop Using The Wrong Embedding Information Guide

1. Introduction to Stop Using The Wrong Embedding
2. Key Details
3. Recent Updates
4. Full Guide
5. Future Outlook

Introduction to Stop Using The Wrong Embedding

As a founding member of the Ollama team, I discovered I've been doing 2013. King minus Man plus Woman equals Queen. The canonical proof that AI understood language. A decade of retrieval ... How do Large Language Models (LLMs) find the right information to answer complex questions? It isn't magic—it's math. James Ellias interviews Ron Pisaturo, who explains how his idea for Conceptron came from examining many features of LLMs, ... Ever wondered how a computer learns the meaning of words like king and queen? How does an AI know that king is more related ...

Key Details

Recent Updates

The Biggest Misconception about Embeddings

Why Bag of Words Still Breaks Modern Embeddings

Stop Using LLMs For Everything

Breakthroughs that Made Language Models Work

How AI Turns Words Into Vectors: Embeddings

RAG is Failing? It’s Your Chunking, Not Your Embeddings

What are Word Embeddings?

How to choose an embedding model

Tokens vs Embeddings – what are they + how are they different?

Full Guide

Data is compiled from public records and verified media reports.

Last Updated: June 14, 2026

Future Outlook

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.