OpenAI Embeddings Explained: text-embedding-3 Small vs Large (with Code & Benchmarks)

cholakovit · Beginner ·🔍 RAG & Vector Search ·9mo ago
In this video, we dive deep into OpenAI's powerful embedding models: text-embedding-3-small and text-embedding-3-large. You’ll learn: What embeddings are and why they matter in modern AI workflows How text-embedding-3-small compares to top models like e5-large, bge, and ada-002 Performance breakdowns using MTEB benchmarks Real-world use cases: Semantic Search, RAG, Recommendations, and more Hands-on examples in Python, JavaScript, and Go Best practices for production-ready systems (normalization, batching, indexing) 📊 Benchmark Comparison Table Included 🧠 Demos: Product Search, Chatbo…
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Chapters (10)

Intro
1:02 What are embeddings?
2:45 Why text-embedding-3 is special
4:20 MTEB Benchmark Breakdown
6:15 Model Comparison Table
9:00 Use Cases & Real-World Demos
11:40 Python, JS & Go Code Examples
14:00 Best Practices & Tips
16:20 3-Small vs 3-Large: Which one to choose?
18:00 Final Thoughts
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