- Title slide: updated subtitle to mention VECTOR datatype
- New slide 2: explain VECTOR as new native datatype, state presentation goals
- Slide 3 diagram: fix 'groß' label position (off y-axis), 'Bild-Vektor' label clear of arrow
- Slide 3: enlarge central message "Vektoren machen Ähnlichkeit berechenbar." (size 26)
- Last slide: add bullet on VECTOR as welcome addition making AI embeddings first-class
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- index_images_indb.py: new script indexing via VECTOR_EMBEDDING(CLIP_IMG)
using a two-step INSERT+UPDATE to work around ORA-24816
- index_images_oracle.py / index_images.py: add timing output
- Presentation: schema names VECTORS_USER/VECTOR in diagram and comparison,
ONNX expansion, HNSW index note on slide 11,
indexing times updated from 3-run benchmark (avg: PG 12.1s, Ora 12.1s, InDB 13.6s)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
dierk