Amazon Q is a generative AI assistant that transforms how work gets done in your organization. With specialized capabilities for software developers, business intelligence analysts, contact center employees, supply chain analysts, and anyone building with AWS, Amazon Q helps every employee get insights on their data and accelerate their tasks. Leveraging Amazon Q's advanced agentic capabilities, companies can streamline processes, get to decisions faster, and help employees be more productive. .
Build Generative AI Applications with Foundation Models – Amazon Bedrock – AWS
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, DeepSeek, Luma, Meta, Mistral AI, poolside (coming soon), Stability AI, TwelveLabs (coming soon), Writer, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources. Since Amazon Bedrock is serverless, you don't have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.
Amazon Transcribe – Speech to Text - AWS
Amazon Transcribe is a fully managed, automatic speech recognition (ASR) service that makes it easy for developers to add speech to text capabilities to their applications. It is powered by a next-generation, multi-billion parameter speech foundation model that delivers high accuracy transcriptions for streaming and recorded speech. Thousands of customers across industries use it to automate manual tasks, unlock rich insights, increase accessibility, and boost discoverability of audio and video content.
Realize the value of your speech data today with Amazon Transcribe.
Are your customers raving about you on social media? Share their great stories to help turn potential customers into loyal ones.
AI Voice Generator and Text-to-Speech Tool - Amazon Polly - AWS
Amazon Polly is a fully-managed service that generates voice on demand, converting any text to an audio stream. Using deep learning technologies to convert articles, web pages, PDF documents, and other text-to-speech (TTS). Polly provides dozens of lifelike voices across a broad set of languages for you to build speech-activated applications that engage and convert. Meet diverse linguistic, accessibility, and learning needs of users across geographies and markets. Powerful neural networks and generative voice engines work in the background, synthesizing speech for you. Integrate the Amazon Polly API into your existing applications to become voice-ready quickly.
Intelligently Extract Text & Data with OCR - Amazon Textract - Amazon Web Services
Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, layout elements, and data from scanned documents. It goes beyond simple optical character recognition (OCR) to identify, understand, and extract specific data from documents. Today, many companies manually extract data from scanned documents, such as PDFs, images, tables, and forms, or through simple OCR software that requires manual configuration (which often must be updated when the form changes). To overcome these manual and expensive processes, Amazon Textract uses ML to read and process any type of document, accurately extracting text, handwriting, tables, and other data with no manual effort. You can use one of our pretrained or custom features to quickly automate document processing, whether you’re automating loans processing or extracting information from invoices and receipts. Amazon Textract provides you the ability to customize our pretrained features to meet the document processing needs specific to your business. Amazon Textract can extract the data in minutes instead of hours or days.
Image recognition software, ML image analysis, and video analysis – Amazon Rekognition – AWS
Quickly add pretrained or customizable computer vision APIs to your applications without building machine learning (ML) models and infrastructure from scratch.
Analyze millions of images, video streams, and stored videos within seconds, and augment human review tasks with AI.
Scale up and down based on your business needs with fully managed AI capabilities and pay only for the images and videos you analyze.
Detect real users and deter bad actors using spoofs in seconds during facial verification
Detect objects, scenes, activities, landmarks, dominant colors, and image quality.
Cloud Computing Services | Google Cloud
Ar
Have
Cu
Vertex AI Agent Builder | Google Cloud
.
AI and Machine Learning Products and Services | Google Cloud
AI and Machine Learning Products and Services | Google Cloud
AutoML Solutions - Train models without ML expertise | Google Cloud
Cloud Natural Language | Google Cloud
Say something interesting about your business here.
What's something exciting your business offers? Say it here.
n8n uses Git to provide source control. To use this feature, it helps to have some knowledge of basic Git concepts. n8n doesn't implement all Git functionality: you shouldn't view n8n's source control as full version control.
New to Git and source control?
If you're new to Git, don't panic. You don't need to learn Git to use n8n. This document explains the concepts you need. You do need some Git knowledge to set up the source control, as this involves work in your Git provider.
Familiar with Git and source control?
If you're familiar with Git, don't rely on behaviors matching exactly. In particular, be aware that source control in n8n doesn't support a pull request-style review and merge process, unless you do this outside n8n in your Git provider.
This page introduces the Git concepts and terminology used in n8n. It doesn't cover everything you need to set up and manage a repository. The person doing the Setup should have some familiarity with Git and with their Git hosting provider.
This is a brief introduction
Git is a complex topic. This section provides a brief introduction to the key terms you need when using environments in n8n. If you want to learn about Git in depth, refer to GitHub | Git and GitHub learning resources.
Git is a tool for managing, tracking, and collaborating on multiple versions of documents. It's the basis for widely used platforms such as GitHub and GitLab.
Git uses branches to maintain multiple copies of a document alongside each other. Every branch has its own version. A common pattern is to have a main branch, and then everyone who wants to contribute to the project works on their own branch (copy). When they finish their work, their branch is merged back into the main branch.
A common pattern when using Git is to install Git on your own computer, and use a Git provider such as GitHub to work with Git in the cloud. In effect, you have a Git repository (project) on GitHub, and work with copies of it on your local machine.
n8n uses this pattern for source control: you'll work with your workflows on your n8n instance, but send them to your Git provider to store them.
n8n uses three key Git processes:
Refer to Push and pull for detailed information about how n8n interacts with Git.
Was this page helpful?
Having a big sale, on-site celebrity, or other event? Be sure to announce it so everybody knows and gets excited about it.
Are your customers raving about you on social media? Share their great stories to help turn potential customers into loyal ones.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.