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Heroku: Powering the Next Wave of Apps with AI

In a short amount of time, AI has transformed life, work, and how we think about the future. These rapid advancements have left many of us wondering how to integrate AI into our existing workflows and what it means for the future of app development. The apps we’re building today are more than lines of code; they’re becoming dynamic, intelligent, and increasingly autonomous. To navigate this new landscape, we need to bring our current skills and technology into this AI-driven future.

As part of the Salesforce portfolio, Heroku has always been a trusted platform for building apps in any language. Our…

Jupyter Notebooks on Heroku with Persistent Storage

We’re excited to introduce Heroku-Jupyter , an open-source, production-ready solution for running Jupyter Notebooks on Heroku with persistent storage, seamless deployment, and built-in security. Whether you’re a data scientist, educator, or developer, you can now spin up a cloud-based Jupyter environment in minutes.

Why Jupyter on Heroku?

Jupyter Notebooks provide an interactive computing environment ideal for data analysis, visualization, and machine learning. However, cloud-based Jupyter deployments often face challenges like ephemeral storage and complex server configurations. Heroku-Jupyter solves these issues by providing a streamlined cloud-based experience.

Persistent Storage for reliable, up-to-date models

Reliable Data Management…

The Next Generation of the Heroku Platform

Over the past year, Heroku has been on a journey of reflection as we rebase the platform to address the changing needs of app teams toward the future without disrupting your business. In the Heroku way, we want to be thoughtful about your experience as we evolve.

When we started Heroku, it was the early days of cloud computing, before Docker and Kubernetes were household names in IT. We launched Heroku (and the platform-as-a-service category) to help teams get to the cloud easily with an elegant user experience in front of a powerful platform that automated a lot…

Heroku AI | Managed Inference and Agents

Over the last couple of years, we’ve repeatedly heard the question “who will build the Heroku of AI?”. The answer to that question is that Heroku will, of course.

We are excited to bring AI to the Heroku platform with the pilot of Managed Inference and Agents, delivered with the graceful developer and operational experience and composability that are the heart of Heroku.

Heroku’s Managed Inference and Agents provide access to leading AI models from the world's top AI providers. These solutions optimize the developer and operator experience to easily extend applications on Heroku with AI. Heroku…

Building Supercharged Agents with Heroku and Agentforce

Heroku is a powerful general-purpose PaaS offering, but when combined with the broader Salesforce portfolio, it excels in unlocking and unifying customer data, regardless of its age, location, size, or structure. One of the key reasons why Salesforce customers turn to Heroku is when they require such data to be securely linked to high-scale experiences, such as consumer web or mobile apps, or when they need scalable compute resources to access and analyze more intricate and complex data in real time. In this blog, we’ll explore how to supercharge Agentforce by leveraging one of the ways in which the…

Building a GPT Backed by a Heroku-Deployed API

How to connect your GPT on OpenAI to a backend Node.js app

Late in 2023, OpenAI introduced GPTs , a way for developers to build customized versions of ChatGPT that can bundle in specialized knowledge, follow preset instructions, or perform actions like reaching out to external APIs. As more and more businesses and individuals use ChatGPT, developers are racing to build powerful GPTs to ride the wave of ChatGPT adoption.

Source

If you’re thinking about diving into GPT development, we’ve got some good news: Building a powerful GPT mostly…

Working with ChatGPT Functions on Heroku

How to Build and Deploy a Node.js App That Uses OpenAI’s APIs

Near the end of 2023, ChatGPT announced that it had 100M weekly users. That’s a massive base of users who want to take advantage of the convenience and power of intelligent question answering with natural language.

With this level of popularity for ChatGPT, it’s no wonder that software developers are joining the ChatGPT app gold rush, building tools on top of OpenAI’s APIs. Building and deploying a GenAI-based app is quite easy to do—and we’re going to show you how!

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Enhancing Heroku Postgres with pgvector: Generating AI Insights

We’re pleased to introduce the pgvector extension on Heroku Postgres . In an era where large language models (LLMs) and AI applications are paramount, pgvector provides the essential capability for performing high-dimensional vector similarity searches. This allows Heroku Postgres to quickly find similar data points in complex data, which is great for applications like recommendation systems and prompt engineering for LLMs. As of today, pgvector is fully compatible with all Production-tier databases running Postgres 15 at no additional charge and you can get started with a simple CREATE EXTENSION vector; command in your client session . In this post,…

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