# Vector Databases

## 🎯 Goals

- [ ] Understand embeddings and similarity search
- [ ] See how vector DBs support AI/ML workloads

## 📚 Checklist

- [ ] Learn basics of at least one vector DB (e.g., Pinecone, Weaviate, Qdrant, Milvus)
- [ ] Understand distance metrics (cosine, dot product, Euclidean)
- [ ] Practice building a simple semantic search demo

## 🔗 Related

- [[03 - NoSQL]]
- [[08 - Modern Databases]]