2
🔬 Technical Deep Dives
Embeddings & Vector Systems
Master vector representations, similarity search, and build production RAG pipelines.
5 lessons5 hours 35 min1,450 XP
1
1
What Are Embeddings?
Understand how AI converts meaning into numbers and why that changes everything.
50 min260 XP
EmbeddingsVector spaces
6 Stages
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2
2
Similarity Search
Build similarity search systems that find related content using embeddings.
55 min280 XP
Similarity searchDistance metrics
6 Stages
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3
3
Vector Databases
Work with vector databases to store and query embeddings at scale.
55 min300 XP
Vector databasesData infrastructure
6 Stages
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4
4
Building a RAG Pipeline
Build a complete retrieval-augmented generation pipeline from scratch.
60 min320 XP
RAG systemsPipeline engineering
6 Stages
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5
5
Embedding Quality & Evaluation
Evaluate and improve embedding quality for production applications.
55 min290 XP
Embedding evaluationQuality metrics
6 Stages
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