Integrate AWS S3 Storage and Gemini to automate workflows with scalable backend

Connect AWS S3 Storage and Gemini nodes to in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!

getting started

How To Connect AWS S3 Storage and Gemini

Supported Triggers & Actions

AWS S3 Storage NODES

Base64 File Loader

Fetch file from AWS S3 bucket in Base64 format.

Create File

Create a file with the given content in AWS S3 bucket.

Generate Public URL

Make a file in S3 bucket publically accessible and return its public URL

Generate Signed URL

Generate a public signed URL for a specific file in an AWS S3 bucket

Upload Base64 File

Uploads a Base64 file to AWS S3 bucket.

Upload File from External URL

Uploads a file from an external URL to AWS S3.

Zip Folder

Zips an existing folder in S3 bucket folder and returns a download url.

Gemini NODES

Count Tokens in Prompt

When using long prompts, it might be useful to count tokens before sending any content to the model.

script

Gemini Text Generator

Make an API call to the Generative Language Model endpoint

script

Generate Embedding

Generate Embeddings from text input and represent text (words, sentences, and blocks of text) in a vectorized formusing Gemini AI

script

Multimodal

Use Google's Gemini AI to generate text from text-only or text-and-image input. [Full documentation](https://cloud.google.com/vertex-ai/docs/generative-ai/start/quickstarts/quickstart-multimodal).

script

Stream Response

Generates a stream of response text using Google's Generative AI with a given prompt

script

blog posts & tutorials

Recommended Reads

Below are recommneded blogs that will help in your journey