dierk/vector-search-demo
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e70d422c69a64fd7ef2556d0a9a80e2c05644454
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7 Commits

Author SHA1 Message Date
dierk 26ce44e186 Add lightbox to all three frontends — click photo to view full size 
Click any result image to open it in a dark overlay. Click anywhere or
press Escape to close. Score colour matches each frontend's accent colour.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 15:15:52 +02:00
dierk 1c5e00d8e4 Add targeted comments explaining non-obvious behaviour 
- embedder.py: lazy model load rationale, RGB conversion, shared vector space
- main.py: why vec appears twice, ::vector cast, 1-distance score formula
- main_oracle.py: why array.array("f") is required instead of plain list
- main_oracle_indb.py: no embedder import — embedding done inside Oracle SQL
- index_images_oracle.py: same array.array requirement on indexing path

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 14:39:40 +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 d360ff1a78 Add SQL setup scripts for all three backends 
- pgvector-demo/sql/setup.sql: enable pgvector extension, create images table and HNSW index
- oravector-demo/sql/setup_vectors_user.sql: create vectors_user, images table and HNSW vector index
- oravector-demo/sql/setup_vector_schema.sql: create VECTOR user, load CLIP ONNX models, create FOTO_VEKTOR table

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 12:00:58 +02:00
dierk 4e68b2f226 Serve frontends via FastAPI static files to fix Brave browser file access block 
Each backend now mounts its frontend directory at /ui/ so the UIs are
accessible via http://localhost:800x/ui/ instead of file:// URLs.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-19 11:40:42 +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