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VECCourse

Vector DBs & embedding pipelines

Lessons8modules
Total64mfull study
Quick7mtrailer
Projects5docker labs
  1. Embedding pipeline architecture
    8m · 10 blocks
  2. Pgvector / Weaviate / Pinecone compared
    8m · 2 blocks
  3. Index types compared (HNSW, IVF, ScaNN)
    8m · 2 blocks
  4. Chunking + embedding co-design
    8m · 2 blocks
  5. Versioning embeddings without breaking search
    8m · 2 blocks
  6. Hybrid search (BM25 + dense)
    8m · 2 blocks
  7. Drift detection for vectors
    8m · 2 blocks
  8. Cost at scale: storage, recall, refresh
    8m · 2 blocks