mirror of
https://github.com/supabase/supabase.git
synced 2026-10-14 21:59:16 +03:00
Danny WhiteandJoshen Lim
d914b81f47
* feat: move storage settings * feat: redirect * feat: database settings in service area * feat: move data api settings * fix: revert data API placement * feat: minor UX touches * fix: simplify configuration group * feat: references to database settings * feat: references to storage settings * fix: redirects and formatting * fix: Import StorageMenu dynamically to avoid SSR issues with useLocalStorage * fix: move Data API closer to semantic siblings * fix: revert smart comma * Shift bucket sort logic into storage explorer store --------- Co-authored-by: Joshen Lim <joshenlimek@gmail.com>
19 lines
1.3 KiB
Plaintext
19 lines
1.3 KiB
Plaintext
---
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id: 'ai-python-clients'
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title: 'Choosing a Client'
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description: 'Learn how to manage vectors using Python'
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sidebar_label: 'Choosing a Client'
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---
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As described in [Structured & Unstructured Embeddings](/docs/guides/ai/structured-unstructured), AI workloads come in many forms.
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For data science or ephemeral workloads, the [Supabase Vecs](https://supabase.github.io/vecs/) client gets you started quickly. All you need is a connection string and vecs handles setting up your database to store and query vectors with associated metadata.
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<Admonition type="tip">
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You can get your connection string from the [**Database Settings**](https://supabase.com/dashboard/project/_/database/settings) page in your dashboard. Make sure to check **Use connection pooling**, then copy the URI. Also, change the URI scheme from `postgres` to `postgresql`. `vecs` uses SQLAlchemy under the hood, which only supports `postgresql` as a dialect.
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</Admonition>
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For production python applications with version controlled migrations, we recommend adding first class vector support to your toolchain by [registering the vector type with your ORM](https://github.com/pgvector/pgvector-python). pgvector provides bindings for the most commonly used SQL drivers/libraries including Django, SQLAlchemy, SQLModel, psycopg, asyncpg and Peewee.
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