Categories: FAANG

Gemini CLI extension for PostgreSQL in action: Build a fuzzy search feature in minutes

Adding features to an app can be hard. One minute you’re writing code, the next you’re switching to the PostgreSQL database client to run a query, and then it’s over to the console to check on your instances. For example, let’s say you wanted to add search capabilities. This can mean adding the right extensions to your PostgreSQL database and learning how to use it. How do you know which extension to use and how to use it in your queries? What if you could do it all from one place, using plain English?

The recently announced Gemini CLI extension for PostgreSQL is here to do just that. It’s a powerful tool that brings the magic of natural language and the convenience of the command line to your database tasks.

Let’s see it in action: The fuzzy search challenge

Imagine you want to add a “fuzzy search” feature to your app — you know, so users can find a “t-shirt” even if they type “tshirt”.

Normally, this would involve a bunch of research and manual steps. But with the Gemini CLI, it’s a conversation:

  1. The ask: You tell Gemini CLI you need to implement fuzzy search.
  2. The smart suggestion: Gemini CLI immediately identifies that the pg_trgm extension is the perfect tool for the job.

The proactive check: It doesn’t just assume you have the extension. It runs list_installed_extensions() to see if pg_trgm is already installed. If not, it installs it for you!

  1. The performance tip: To make your search blazing fast, it then recommends creating a GIST or GIN index on the relevant table column (e.g., the details column in your product_inventory table).

The code: Finally, it provides you with a sample query, showing you exactly how to execute the fuzzy search.

In just a few steps, you’ve gone from a feature request to a fully implemented, optimized solution. That’s not just a command line; that’s a database assistant.

Key features you’ll love

To recap, the Gemini CLI extension for PostgreSQL lets you:

  • Talk to your database: Use natural language to get what you need, from simple schema exploration to complex tasks like setting up extensions.
  • Exert full lifecycle control: From creating a new PostgreSQL instance to managing users and permissions, this extension has you covered.
  • Generate code on the fly: Speed up your development by automatically generating data classes and other code snippets based on your table schemas.

To get started, use the Gemini CLI extension for PostgreSQL.

AI Generated Robotic Content

Recent Posts

I love Qwen

It is far more likely that a woman underwater is wearing at least a bikini…

16 hours ago

100% Unemployment is Inevitable*

TL;DR AI is already raising unemployment in knowledge industries, and if AI continues progressing toward…

16 hours ago

Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures

The canonical approach in generative modeling is to split model fitting into two blocks: define…

16 hours ago

Streamline AI operations with the Multi-Provider Generative AI Gateway reference architecture

As organizations increasingly adopt AI capabilities across their applications, the need for centralized management, security,…

16 hours ago

BigQuery AI: The convergence of data and AI is here

From uncovering new insights in multimodal data to personalizing customer experiences, AI is emerging as…

16 hours ago

OpenAI is ending API access to fan-favorite GPT-4o model in February 2026

OpenAI has sent out emails notifying API customers that its chatgpt-4o-latest model will be retired…

17 hours ago