Commit Graph

6 Commits

Author SHA1 Message Date
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