# AI use cases for Supabase (supabase/supabase)

Repo: [supabase/supabase](https://github.com/supabase/supabase) | Use cases: 5 | Page: https://dedupedai.com/use-cases/supabase-supabase/

Supabase is an open source Postgres development platform that bundles a hosted Postgres database with auth, auto-generated APIs, realtime, functions, file storage, and AI vector tools.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Launch an app backend on hosted Postgres: https://dedupedai.com/use-cases/supabase-supabase/launch-app-backend-on-hosted-postgres/
- Add vector search to an AI app in Postgres: https://dedupedai.com/use-cases/supabase-supabase/add-vector-search-to-ai-app/
- Push live database changes to app users: https://dedupedai.com/use-cases/supabase-supabase/push-live-database-changes-to-clients/
- Run server logic with Edge and database functions: https://dedupedai.com/use-cases/supabase-supabase/run-server-logic-with-edge-and-database-functions/
- Develop and self-host Supabase on your own machines: https://dedupedai.com/use-cases/supabase-supabase/develop-and-self-host-supabase-locally/

## How to launch an app backend on hosted Postgres with Supabase

Repo: [supabase/supabase](https://github.com/supabase/supabase) | Difficulty: Intermediate | Time: 2 hours | Basis: From the README

Get a database, user sign-in, file storage, and auto-generated APIs for a new web or mobile app.

**Who it is for:** Solo developer or small team building a web or mobile app who wants Firebase-style features without running servers.

**The problem:** Wiring together a database, login system, file uploads, and API layer by hand takes weeks before the app itself starts.

**The outcome:** A working backend with tables, user accounts, file storage, and REST endpoints generated from the database schema.

### Steps

1. Sign up at https://supabase.com/dashboard and create a new project.
2. Create your tables in the Hosted Postgres Database and turn on row-level access rules for each table.
3. Enable Authentication and Authorization and choose how users sign up and log in.
4. Call the auto-generated REST API from your app using the client library for your language.
5. Add File Storage for user uploads and check that access rules block other users from reading private files.

### Prompt to paste into your agent

```text
Using the supabase/supabase repository README as the reference, design a Postgres schema for <app description> with tables, a sign-up flow, and a storage bucket for user files. Output the table definitions and the REST calls a client would make. Verify that every table has an access rule that limits reads and writes to the owning user.
```

### Caveat

The README describes these features at a high level and links to docs for setup details, so check the linked guides before relying on exact steps.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/supabase-supabase/launch-app-backend-on-hosted-postgres/

## How to add vector search to an AI app in Postgres with Supabase

Repo: [supabase/supabase](https://github.com/supabase/supabase) | Difficulty: Intermediate | Time: 2 hours | Basis: From the README

Store embeddings next to your data and search them with the AI and vector toolkit.

**Who it is for:** Developer building an AI feature, such as document search or a question-answering tool, who wants the vectors in the same database as the app data.

**The problem:** Running a separate vector database adds another service to manage and another place where data can drift out of sync.

**The outcome:** Embeddings stored in the same Postgres database as your app tables, queried alongside normal data.

### Steps

1. Create a hosted Supabase project or set up a local or self-hosted instance.
2. Create a table with a column for your text and a column for its embedding using the AI + Vector/Embeddings Toolkit guide.
3. Generate embeddings for your text with the model of your choice and write them into the embedding column.
4. Run a similarity query against the embedding column from your app through the auto-generated API or a database function.
5. Check the results on a few known questions before exposing the search to users.

### Prompt to paste into your agent

```text
Using the supabase/supabase README and its AI + Vector/Embeddings Toolkit docs link, create a Postgres table for <document collection> with an embedding column and a similarity search function. Output the SQL and a sample query. Verify that the search returns the expected document for three test questions.
```

### Caveat

The README names the AI and vector toolkit but does not describe its specific functions, so confirm the exact extension and query syntax in the linked docs.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/supabase-supabase/add-vector-search-to-ai-app/

## How to push live database changes to app users with Supabase

Repo: [supabase/supabase](https://github.com/supabase/supabase) | Difficulty: Intermediate | Time: 1 hour | Basis: From the README

Send inserts, updates, and deletes to connected clients over websockets as they happen.

**Who it is for:** Developer building a chat, live dashboard, or collaborative tool that must show data changes without page reloads.

**The problem:** Polling the database from the browser wastes requests and shows stale data between polls.

**The outcome:** Connected clients receive database change events in near real time, limited to the data they are allowed to see.

### Steps

1. Set up a Supabase project and create the table whose changes you want to stream.
2. Turn on access rules so each client only receives rows it is authorized to read.
3. Subscribe to realtime changes from your app using the realtime client in the client library for your language.
4. Insert or update a test row from another session and confirm the subscribed client receives the event.
5. Handle reconnects in your app so updates resume after a dropped connection.

### Prompt to paste into your agent

```text
Using the supabase/supabase README and the Realtime subscriptions docs, write a client subscription for inserts and updates on the <table name> table. Output the subscription code and a test script that changes one row. Verify that a second client only receives rows its access rules allow.
```

### Caveat

The README says Realtime polls Postgres replication and broadcasts changes to authorized clients, but it does not give latency figures, so test delivery speed on your own setup.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/supabase-supabase/push-live-database-changes-to-clients/

## How to run server logic with Edge and database functions with Supabase

Repo: [supabase/supabase](https://github.com/supabase/supabase) | Difficulty: Advanced | Time: 2 hours | Basis: From the README

Move business rules into Edge Functions or Postgres functions instead of a separate server.

**Who it is for:** Developer who needs custom logic, such as validating input or calling an outside service, without hosting a dedicated backend.

**The problem:** Keeping a separate API server running for a few custom rules adds cost and deployment work.

**The outcome:** Custom logic runs either inside Postgres as database functions or as Edge Functions called by your app.

### Steps

1. Decide which logic belongs in the database, such as data checks, and which belongs in an Edge Function, such as calls to outside services.
2. Write the database function in your Supabase project using the Database Functions guide.
3. Write the Edge Function following the Edge Functions guide linked in the README.
4. Call both from your app through the client library and confirm the expected response.
5. Confirm that the function only exposes the operations you intend.

### Prompt to paste into your agent

```text
Using the supabase/supabase README and its Database Functions and Edge Functions docs, write one database function and one Edge Function that handle <task description>. Output both code files and a test call for each. Verify that invalid input is rejected by both.
```

### Caveat

The README lists Edge Functions and Database Functions as features but does not describe their runtime or limits, so check the linked guides for those details.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/supabase-supabase/run-server-logic-with-edge-and-database-functions/

## How to develop and self-host Supabase on your own machines with Supabase

Repo: [supabase/supabase](https://github.com/supabase/supabase) | Difficulty: Advanced | Time: 3 hours | Basis: From the README

Run Supabase locally or on your own infrastructure instead of the hosted platform.

**Who it is for:** Engineer or ops team that needs local development or control over where app data is stored.

**The problem:** Some teams cannot send data to a hosted service and need the same backend stack on their own servers.

**The outcome:** A local or self-hosted Supabase instance that matches the hosted feature set described in the README.

### Steps

1. Read the self-host overview at https://supabase.com/docs/guides/hosting/overview.
2. Read the local development guide at https://supabase.com/docs/guides/local-development.
3. Follow the guide to install the stack on your machine or server.
4. Create a test table and confirm the auto-generated API responds.
5. Set up backups and access controls before storing real data.

### Prompt to paste into your agent

```text
Using the supabase/supabase README and the linked self-host and local development guides, produce a checklist to run Supabase on <target machine or server>. Output the ordered setup steps and a verification query for each. Verify that the REST API and authentication respond before any real data is loaded.
```

### Caveat

The README only links to the self-host and local development guides, so the exact install commands and requirements must come from those pages.

Risk, credentials: A self-hosted instance holds your database and auth secrets, so store keys in a secret manager and never commit them to a repository.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/supabase-supabase/develop-and-self-host-supabase-locally/