Embedding

Explore recommended reads, summarized by AI

Building with Embeddings

Practical guides to implementing retrieval systems, vector search, and embedding-powered applications.

RAG System Development

Vector Search and Databases

Fundamentals

Introductory explanations of how embeddings work and what they represent in machine learning.

Tokenization and Transformers

Understanding Embeddings

Word Embedding Techniques

Popular this week

Generative AI

Jim Clyde Monge

8 New AI Terms You Should Know to Be Ahead of 90% of People (Part 2)

Oct 13

Towards AI

Pop Alexandru

The Most Important AI Model Released This Week Might Not Generate a Single Word

Oct 7

Arvind Kumar

Tokens, Embeddings, and Tokenization Explained

May 13

Towards AI

Montasir Mahmud

[Day 35/100] Embeddings for AI Agent Memory: What Similarity Search Gets Wrong

Oct 28

Netflix TechBlog

Netflix Technology Blog

MAPS: Netflix’s Multimodal Asset Personalization at Scale

Aug 28

Selected by Medium

Data And Beyond

Dima Iakubovskyi

Embedding 101: Your Model Reads Coordinates, Not Words

Aug 27

Blog Técnico QuintoAndar

Ivo Silva

Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search

Aug 20

Dominika Sułot

Vector Databases: A Story, Not a Manual

Jul 3

Latest stories

Towards AI

“The AI Engineer”

Why Your Embeddings Model Upgrade Silently Broke Retrieval

1d ago

Rui Huang

The Average Customer: Why One Vector per User Dilutes the Signal That Matters

2d ago

Anirudh

RAG Explained: From Embeddings to Building Your First Retrieval System

2d ago

Abhishek

Understanding RAG from the Ground Up

4d ago

Embedding

Building with Embeddings

RAG System Development

Vector Search and Databases

Fundamentals

Tokenization and Transformers

Understanding Embeddings

Word Embedding Techniques

Popular this week

8 New AI Terms You Should Know to Be Ahead of 90% of People (Part 2)

The Most Important AI Model Released This Week Might Not Generate a Single Word

Tokens, Embeddings, and Tokenization Explained

[Day 35/100] Embeddings for AI Agent Memory: What Similarity Search Gets Wrong

MAPS: Netflix’s Multimodal Asset Personalization at Scale

Selected by Medium

Embedding 101: Your Model Reads Coordinates, Not Words

Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search

Vector Databases: A Story, Not a Manual

Latest stories

Why Your Embeddings Model Upgrade Silently Broke Retrieval

The Average Customer: Why One Vector per User Dilutes the Signal That Matters

RAG Explained: From Embeddings to Building Your First Retrieval System

Understanding RAG from the Ground Up

Building an offline & private Personal Markdown Search Engine

Who to follow

Popular this week

8 New AI Terms You Should Know to Be Ahead of 90% of People (Part 2)

The Most Important AI Model Released This Week Might Not Generate a Single Word

Tokens, Embeddings, and Tokenization Explained

[Day 35/100] Embeddings for AI Agent Memory: What Similarity Search Gets Wrong

MAPS: Netflix’s Multimodal Asset Personalization at Scale

Selected by Medium

Embedding 101: Your Model Reads Coordinates, Not Words

Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search

Vector Databases: A Story, Not a Manual

Latest stories

Why Your Embeddings Model Upgrade Silently Broke Retrieval

The Average Customer: Why One Vector per User Dilutes the Signal That Matters

RAG Explained: From Embeddings to Building Your First Retrieval System

Understanding RAG from the Ground Up

Building an offline & private Personal Markdown Search Engine

Who to follow