dierk/vector-search-demo
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10 Commits

Author SHA1 Message Date
dierk 4a82352391 Document CLIP model source in embedder.py and README 
Model downloads automatically from HuggingFace Hub on first use.
No manual download required.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-20 12:04:10 +02:00
dierk 9116533f03 Update README with all recent changes 
- Project structure: add index_images_indb.py
- Architecture: fix schema names (VECTORS_USER/VECTOR), HNSW for all three
- Database schemas: separate sections for VECTORS_USER and VECTOR, photo storage differences
- Indexing scripts: three-way comparison table, measured avg times (12.1s/12.1s/13.6s)
- ORA-24816 workaround documented
- Performance comparison: real benchmark numbers, HNSW for in-DB, photo storage row
- Oracle in-DB section: HNSW index creation, index_images_indb.py for population
- Re-index section: add index_images_indb.py

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-20 11:17:27 +02:00
dierk e70d422c69 Document lightbox feature in README 
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 15:19:37 +02:00
dierk 048309da8a Add present.sh and document LibreOffice --show flag in README 
present.sh launches the slideshow directly without opening the Impress UI.
The script is gitignored as a local convenience helper.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 14:56:28 +02:00
dierk ab7f384951 Add Python dependency install step to setup instructions in README 
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 12:05:20 +02:00
dierk 3dcb98f82f Add requirements.txt for both backends 
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 12:04:43 +02:00
dierk bc4b871cfb Add .env.example templates and document configuration in README 
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 12:03:53 +02:00
dierk a833300530 Add setup instructions to README for all three backends 
Covers PostgreSQL database creation and schema setup, Oracle vectors_user
setup, and Oracle in-database ONNX model loading. Also updates project
structure to include the new sql/ directories.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 12:02:54 +02:00
dierk 080795c4dc Update README to reflect current implementation 
- PostgreSQL now runs in Docker (pgvector/pgvector:pg18) on port 5433
- pgvector version updated to 0.8.2, PostgreSQL to version 18
- Project structure updated with start.sh, stop.sh, and indb/ subfolder
- Running section now documents start.sh / stop.sh
- Frontend URLs updated to /ui/ endpoint
- Photo count corrected to 116

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 11:52:56 +02:00
dierk 66f7db40b0 Initial implementation of pgvector and Oracle 26ai vector search demo 
Three FastAPI backends comparing PostgreSQL/pgvector and Oracle 26ai for
semantic image search using CLIP embeddings: Python-side embedding for both
databases, plus Oracle in-database embedding via VECTOR_EMBEDDING(CLIP_TXT).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 11:33:16 +02:00