Learn how to integrate Supabase with LlamaIndex, a data framework for your LLM applications.
Learn how to integrate Supabase with LlamaIndex, a data framework for your LLM applications.
This guide will walk you through a basic example using the LlamaIndex SupabaseVectorStore.
Project setup
Let's create a new Postgres database. This is as simple as starting a new Project in Supabase:
- Create a new project in the Supabase dashboard.
- Enter your project details. Remember to store your password somewhere safe.
Your database will be available in less than a minute.
Finding your credentials:
You can find your project credentials inside the project settings, including:
- Database credentials: connection strings and connection pooler details.
- API credentials: your serverless API URL and
anon/service_rolekeys.
Launching a notebook
Launch our LlamaIndex notebook in Colab:
At the top of the notebook, you'll see a button Copy to Drive. Click this button to copy the notebook to your Google Drive.
Fill in your OpenAI credentials
Inside the Notebook, add your OPENAI_API_KEY key. Find the cell which contains this code:
_10import os_10os.environ['OPENAI_API_KEY'] = "[your_openai_api_key]"
Connecting to your database
Inside the Notebook, find the cell which specifies the DB_CONNECTION. It will contain some code like this:
_10DB_CONNECTION = "postgresql://<user>:<password>@<host>:<port>/<db_name>"_10_10# create vector store client_10vx = vecs.create_client(DB_CONNECTION)
Replace the DB_CONNECTION with your own connection string for your database. You can find the Postgres connection string in the Database Settings of your Supabase project.
SQLAlchemy requires the connection string to start with postgresql:// (instead of postgres://). Don't forget to rename this after copying the string from the dashboard.
You must use the "connection pooling" string (domain ending in *.pooler.supabase.com) with Google Colab since Colab does not support IPv6.
Stepping through the notebook
Now all that's left is to step through the notebook. You can do this by clicking the "execute" button (ctrl+enter) at the top left of each code cell. The notebook guides you through the process of creating a collection, adding data to it, and querying it.
You can view the inserted items in the Table Editor, by selecting the vecs schema from the schema dropdown.
