Files
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

39 lines
1.2 KiB
SQL

-- Oracle 26ai setup for the Python-embedding backend (port 8001)
-- Run as SYSDBA connected to FREEPDB1
--
-- Usage (from host):
-- podman exec oracle.free bash -c "sqlplus -s / as sysdba @/tmp/setup_vectors_user.sql"
--
-- Or interactively:
-- podman exec -it oracle.free sqlplus / as sysdba
-- ALTER SESSION SET CONTAINER=FREEPDB1;
-- @setup_vectors_user.sql
ALTER SESSION SET CONTAINER=FREEPDB1;
-- Create user
CREATE USER vectors_user IDENTIFIED BY Vektor;
GRANT CONNECT, RESOURCE TO vectors_user;
GRANT UNLIMITED TABLESPACE TO vectors_user;
-- Switch to vectors_user and create schema objects
-- (run the following block connected as vectors_user)
-- Table
CREATE TABLE vectors_user.images (
id NUMBER GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
filename VARCHAR2(255) NOT NULL UNIQUE,
filepath VARCHAR2(1000) NOT NULL,
embedding VECTOR(512, FLOAT32)
);
-- HNSW vector index (requires vector_memory_size > 0 in SGA)
CREATE VECTOR INDEX vectors_user.images_embedding_idx
ON vectors_user.images(embedding)
ORGANIZATION INMEMORY NEIGHBOR GRAPH
WITH DISTANCE COSINE
WITH TARGET ACCURACY 95
PARAMETERS (type HNSW, neighbors 32, efconstruction 200);
EXIT;