VECMOD.VEC-08 · v1.0
Pipelines for
real workloads,
not demos.
8 micro-lessons · ~66 min · Real Docker images
EMBEDDING PIPELINE · LIVE
PIPE 5/5 · 1.2s tick
INDEXING
RAW TEXT
CHUNK
EMBED
INDEX
SEARCH
1,536-dim · pgvector · 47K rows · 8 ms p95
HNSW · cosine
VECDATA ENGINEERINGHOT
Vector DBs & embedding pipelines
From raw text to ANN search at scale, end-to-end.
WHY THIS MATTERS · DATABRICKS 2026 + IBM 2026
Vector DB use grew 377% YoY (Databricks). IBM's 2026 data guide includes vector databases as a core database topic.
01Pipeline architecture
02Pgvector / Weaviate / Pinecone
03Index types compared
04Chunking + embedding co-design
05Versioning embeddings
06Cost at scale
Architect an embedding pipeline
Compare pgvector / Weaviate / Pinecone
Version embeddings without breaking search
SKILLS YOU'LL GAIN
Real skills, real career delta.
Skills you'll gain
08- Architect an embedding pipelineWorking
Outcome from completing the course: architect an embedding pipeline.
- Compare pgvector / Weaviate / PineconeWorking
Outcome from completing the course: compare pgvector / weaviate / pinecone.
- Version embeddings without breaking searchWorking
Outcome from completing the course: version embeddings without breaking search.
- Pipeline architectureWorking
Covered in lesson sequence — drop-in ready.
- Index types comparedWorking
Covered in lesson sequence — drop-in ready.
- Chunking + embedding co-designWorking
Covered in lesson sequence — drop-in ready.
- Versioning embeddingsWorking
Covered in lesson sequence — drop-in ready.
- Cost at scaleWorking
Covered in lesson sequence — drop-in ready.
$ docker pull snap/vector-embeddings:lesson-01
$ docker run --rm -it snap/vector-embeddings:lesson-01
snap/vector-embeddings:lesson-01
Index-type comparison is the one I bookmark.
@vector_vexVERIFY ON GITHUB
Versioning embeddings: lesson nobody else teaches.
@kofi.infraVERIFY ON TWITTER
LESSONS8
HOURS~1.1
LEARNERS2,980
THIS WEEK+28%