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
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