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![4 Simple steps
■ Create the table - with vector
■ Insert some data - with embedding
■ Create the vector index
■ Query!
CREATE TABLE IF NOT EXISTS myapp.comments (
record_id timeuuid,
id uuid,
commenter text,
comment text,
comment_vector vector<float, 64>,
created_at timestamp,
PRIMARY KEY (id, created_at)
);
INSERT INTO myapp.comments (
record_id,
id,
commenter,
comment,
comment_vector,
created_at
) VALUES (
now(),
uuid(),
'Alice',
'I like vector search in ScyllaDB.',
[0.12, 0.34, 0.56, 0.78, 0.91, 0.15, 0.62, 0.48,
0.22, 0.31, 0.40, 0.67, 0.53, 0.84, 0.19, 0.72,
0.63, 0.54, 0.26, 0.33, 0.11, 0.09, 0.27, 0.41,
0.69, 0.82, 0.57, 0.38, 0.71, 0.46, 0.55, 0.64,
0.17, 0.81, 0.23, 0.95, 0.66, 0.35, 0.44, 0.59,
0.02, 0.75, 0.28, 0.16, 0.92, 0.88, 0.47, 0.13,
0.99, 0.21, 0.32, 0.83, 0.45, 0.04, 0.86, 0.25,
0.36, 0.73, 0.07, 0.61, 0.52, 0.14, 0.68, 0.05],
toTimestamp(now())
);
CREATE CUSTOM INDEX IF NOT EXISTS ann_idx
ON myapp.comments(comment_vector)
USING 'vector_index'
WITH OPTIONS = { 'similarity_function': 'DOT_PRODUCT' };
SELECT id, commenter, comment, created_at
FROM myapp.comments
ORDER BY comment_vector ANN OF [ 0.11, 0.35, 0.56, 0.77, … ]
LIMIT 5;
STEP
04
STEP
03
STEP
02
STEP
01
Embedding
Vector
Index](https://image.slidesharecdn.com/yanivkaul-260309165632-d8ca7214/85/ScyllaDB-Engineering-What-s-New-What-s-Next-by-Yaniv-Kaul-12-320.jpg)
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Uploaded byScyllaDB
ScyllaDB Engineering: What's New, What's Next by Yaniv Kaul
Join ScyllaDB VP of R & D Yaniv Kaul as he highlights the engineering milestones achieved over the past year, diving into new features, performance improvements, and innovations. Plus, get an exclusive sneak peek into what's coming next for ScyllaDB and the future of high-performance databases.
