|
| 1 | +# pgvector-raku |
| 2 | + |
| 3 | +[pgvector](https://github.com/pgvector/pgvector) examples for Raku |
| 4 | + |
| 5 | +Supports [DBIish](https://github.com/raku-community-modules/DBIish) and [DB::Pg](https://github.com/CurtTilmes/raku-dbpg) |
| 6 | + |
| 7 | +[](https://github.com/pgvector/pgvector-raku/actions) |
| 8 | + |
| 9 | +## Getting Started |
| 10 | + |
| 11 | +Follow the instructions for your database library: |
| 12 | + |
| 13 | +- [DBIish](#dbiish) |
| 14 | +- [DB::Pg](#dbpg) |
| 15 | + |
| 16 | +## DBIish |
| 17 | + |
| 18 | +Enable the extension |
| 19 | + |
| 20 | +```raku |
| 21 | +$dbh.execute('CREATE EXTENSION IF NOT EXISTS vector'); |
| 22 | +``` |
| 23 | + |
| 24 | +Create a table |
| 25 | + |
| 26 | +```raku |
| 27 | +$dbh.execute('CREATE TABLE items (id bigserial PRIMARY KEY, embedding vector(3))'); |
| 28 | +``` |
| 29 | + |
| 30 | +Insert vectors |
| 31 | + |
| 32 | +```raku |
| 33 | +my $embedding1 = '[1,1,1]'; |
| 34 | +my $embedding2 = '[2,2,2]'; |
| 35 | +my $embedding3 = '[1,1,2]'; |
| 36 | +$dbh.execute('INSERT INTO items (embedding) VALUES (?), (?), (?)', $embedding1, $embedding2, $embedding3); |
| 37 | +``` |
| 38 | + |
| 39 | +Get the nearest neighbors |
| 40 | + |
| 41 | +```raku |
| 42 | +my $embedding = '[1,1,1]'; |
| 43 | +.say for $dbh.execute('SELECT * FROM items ORDER BY embedding <-> ? LIMIT 5', $embedding).allrows(); |
| 44 | +``` |
| 45 | + |
| 46 | +Add an approximate index |
| 47 | + |
| 48 | +```raku |
| 49 | +$dbh.execute('CREATE INDEX ON items USING hnsw (embedding vector_l2_ops)'); |
| 50 | +# or |
| 51 | +$dbh.execute('CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100)'); |
| 52 | +``` |
| 53 | + |
| 54 | +Use `vector_ip_ops` for inner product and `vector_cosine_ops` for cosine distance |
| 55 | + |
| 56 | +See a [full example](dbiish.raku) |
| 57 | + |
| 58 | +## DB::Pg |
| 59 | + |
| 60 | +Enable the extension |
| 61 | + |
| 62 | +```raku |
| 63 | +$pg.query('CREATE EXTENSION IF NOT EXISTS vector'); |
| 64 | +``` |
| 65 | + |
| 66 | +Create a table |
| 67 | + |
| 68 | +```raku |
| 69 | +$pg.query('CREATE TABLE items (id bigserial PRIMARY KEY, embedding vector(3))'); |
| 70 | +``` |
| 71 | + |
| 72 | +Insert vectors |
| 73 | + |
| 74 | +```raku |
| 75 | +my $embedding1 = '[1,1,1]'; |
| 76 | +my $embedding2 = '[2,2,2]'; |
| 77 | +my $embedding3 = '[1,1,2]'; |
| 78 | +$pg.query('INSERT INTO items (embedding) VALUES ($1), ($2), ($3)', $embedding1, $embedding2, $embedding3); |
| 79 | +``` |
| 80 | + |
| 81 | +Get the nearest neighbors |
| 82 | + |
| 83 | +```raku |
| 84 | +my $embedding = '[1,1,1]'; |
| 85 | +.say for $pg.query('SELECT * FROM items ORDER BY embedding <-> $1 LIMIT 5', $embedding).arrays; |
| 86 | +``` |
| 87 | + |
| 88 | +Add an approximate index |
| 89 | + |
| 90 | +```raku |
| 91 | +$pg.query('CREATE INDEX ON items USING hnsw (embedding vector_l2_ops)'); |
| 92 | +# or |
| 93 | +$pg.query('CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100)'); |
| 94 | +``` |
| 95 | + |
| 96 | +Use `vector_ip_ops` for inner product and `vector_cosine_ops` for cosine distance |
| 97 | + |
| 98 | +See a [full example](dbpg.raku) |
| 99 | + |
| 100 | +## Contributing |
| 101 | + |
| 102 | +Everyone is encouraged to help improve this project. Here are a few ways you can help: |
| 103 | + |
| 104 | +- [Report bugs](https://github.com/pgvector/pgvector-raku/issues) |
| 105 | +- Fix bugs and [submit pull requests](https://github.com/pgvector/pgvector-raku/pulls) |
| 106 | +- Write, clarify, or fix documentation |
| 107 | +- Suggest or add new features |
| 108 | + |
| 109 | +To get started with development: |
| 110 | + |
| 111 | +```sh |
| 112 | +git clone https://github.com/pgvector/pgvector-raku.git |
| 113 | +cd pgvector-raku |
| 114 | +createdb pgvector_raku_test |
| 115 | +zef install DB::Pg |
| 116 | +raku dbiish.raku |
| 117 | +raku dbpg.raku |
| 118 | +``` |
0 commit comments