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Closes DOCS-1057 Contributes to DOCS-1052 ## I have read the [CONTRIBUTING.md](https://github.com/supabase/supabase/blob/master/CONTRIBUTING.md) file. YES ## Problem We have hundreds of MDX lint warnings in our docs going against style best practices. ## Solution Remove and replace in context the following: - PostgreSQL. There was only one. There was concern about exceptions, but I found none. - Just - Quickly - Actually ### What changed Edits follow the [Google developer documentation style guide](https://developers.google.com/style): concise, direct, active voice. The flagged words were removed when the sentence still read well, or replaced when meaning needed to be preserved. ### Common patterns | Flagged word | Approach | Example | |---|---|---| | **just** (filler) | Removed | "you just installed" → "you installed" | | **just** (limiting) | **only** | "just one row" → "only one row" | | **just like** | **like** / **the same as** | "function just like regular users" → "function like regular users" | | **not just** | **not only** | "not just errors" → "not only errors" | | **quickly** (performance) | **efficiently** or removed | "find rows quickly" → "find rows efficiently" | | **quickly** (time) | **soon** / **rapidly** / removed | "expires too quickly" → "expires too soon" | | **actually** (filler) | Removed | "actually execute" → "execute"; "is actually the most common" → "is the most common" | ## Tophatting 1. See the diff. 2. See that content continues to make sense in context. 3. Locally, `cd apps/docs` and run `pnpm run lint:mdx`. 4. Search for "just," "actually," "quickly", and "PostgreSQL" and see there are 0 warnings. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Documentation** * Updated wording across quickstarts, guides, and troubleshooting articles for grammar, clarity, and consistent step-by-step phrasing. * Clarified key concepts including Row Level Security policy evaluation across Supabase products, deferred foreign key constraint behavior, and when `EXPLAIN ANALYZE` executes queries (and related side effects). * Refined several troubleshooting instructions and added guidance to cap log payload size to reduce billed Logs Ingest volume. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Nik Richers <nrichers@gmail.com> Co-authored-by: Chris Chinchilla <chris.ward@supabase.io>
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21 lines
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---
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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. You need 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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Click [**Connect**](/dashboard/project/_/?showConnect=true) at the top of any project page to get your connection string.
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Copy the URI from the **Shared pooler** option.
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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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