First commit

.github/workflows/build.yml

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+name: build
+on: [push, pull_request]
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - run: sudo apt-get update && sudo apt-get install nim
+      - uses: ankane/setup-postgres@v1
+        with:
+          database: pgvector_nim_test
+          dev-files: true
+      - run: |
+          cd /tmp
+          git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
+          cd pgvector
+          make
+          sudo make install
+      - run: nimble install db_connector
+      - run: nim c --run example.nim

.gitignore

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+/example

LICENSE.txt

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+The MIT License (MIT)
+
+Copyright (c) 2023 Andrew Kane
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.

README.md

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+# pgvector-nim
+
+[pgvector](https://github.com/pgvector/pgvector) examples for Nim
+
+Supports [db_connector](https://github.com/nim-lang/db_connector)
+
+[![Build Status](https://github.com/pgvector/pgvector-nim/actions/workflows/build.yml/badge.svg?branch=master)](https://github.com/pgvector/pgvector-nim/actions)
+
+## Getting Started
+
+Follow the instructions for your database library:
+
+- [db_connector](#db_connector)
+
+## db_connector
+
+Enable the extension
+
+```nim
+db.exec(sql"CREATE EXTENSION IF NOT EXISTS vector")
+```
+
+Create a table
+
+```nim
+db.exec(sql"CREATE TABLE items (id bigserial PRIMARY KEY, embedding vector(3))")
+```
+
+Insert vectors
+
+```nim
+db.exec(sql"INSERT INTO items (embedding) VALUES (?), (?), (?)", "[1,1,1]", "[2,2,2]", "[1,1,2]")
+```
+
+Get the nearest neighbors
+
+```nim
+let rows = db.getAllRows(sql"SELECT * FROM items ORDER BY embedding <-> ? LIMIT 5", "[1,1,1]")
+for row in rows:
+  echo row
+```
+
+Add an approximate index
+
+```nim
+db.exec(sql"CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100)")
+# or
+db.exec(sql"CREATE INDEX ON items USING hnsw (embedding vector_l2_ops)")
+```
+
+Use `vector_ip_ops` for inner product and `vector_cosine_ops` for cosine distance
+
+See a [full example](example.nim)
+
+## Contributing
+
+Everyone is encouraged to help improve this project. Here are a few ways you can help:
+
+- [Report bugs](https://github.com/pgvector/pgvector-nim/issues)
+- Fix bugs and [submit pull requests](https://github.com/pgvector/pgvector-nim/pulls)
+- Write, clarify, or fix documentation
+- Suggest or add new features
+
+To get started with development:
+
+```sh
+git clone https://github.com/pgvector/pgvector-nim.git
+cd pgvector-nim
+createdb pgvector_nim_test
+nimble install db_connector
+nim c --run example.nim
+```
+
+Specify the path to libpq if needed:
+
+```sh
+nim c --run --dynlibOverride:pq --passL:"/opt/homebrew/opt/libpq/lib/libpq.dylib" example.nim
+```

example.nim

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+import db_connector/db_postgres
+
+let db = db_postgres.open("localhost", "", "", "pgvector_nim_test")
+
+db.exec(sql"CREATE EXTENSION IF NOT EXISTS vector")
+db.exec(sql"DROP TABLE IF EXISTS items")
+
+db.exec(sql"CREATE TABLE items (id bigserial PRIMARY KEY, embedding vector(3))")
+
+db.exec(sql"INSERT INTO items (embedding) VALUES (?), (?), (?)", "[1,1,1]", "[2,2,2]", "[1,1,2]")
+
+let rows = db.getAllRows(sql"SELECT * FROM items ORDER BY embedding <-> ? LIMIT 5", "[1,1,1]")
+for row in rows:
+  echo row
+
+db.exec(sql"CREATE INDEX ON items USING hnsw (embedding vector_l2_ops)")
+
+db.close()