Home Courses Building SaaS with AI in 5 Days Day 4
Day 04 RAG

Vector Databases and Retrieval-Augmented Generation

Pinecone, Weaviate, pgvector — store and retrieve embeddings at scale. Build the RAG pipeline that grounds AI responses in your product's actual data.

~1 hour Intermediate Hands-on Precision AI Academy

Today's Objective

Pinecone, Weaviate, pgvector — store and retrieve embeddings at scale. Build the RAG pipeline that grounds AI responses in your product's actual data.

Content coming soon.

What's Next

The foundations from today carry directly into Day 5. In the next session the focus shifts to Deployment, Monitoring, and Growth — building directly on everything covered here.

Supporting Videos & Reading

Go deeper with these external references.

YouTube
Vector Databases and Retrieval-Augmented Generation — Video Walkthroughs Community tutorials and walkthroughs covering the concepts in this lesson.
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YouTube
Vector Databases and Retrieval-Augmented Generation Explained Deep-dive explanations and live-coding sessions from top educators.
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Official Docs
Official Documentation Primary reference documentation for the technologies covered in this lesson.
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GitHub
Open Source Examples Real-world codebases demonstrating the patterns taught in this lesson.
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Day 4 Checkpoint

Before moving on, verify you can answer these without looking:

Continue To Day 5
Day 5
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