OpenAI Embeddings Explained: text-embedding-3 Small vs Large (with Code & Benchmarks)
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…
Watch on YouTube ↗
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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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