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 Heroku platform is used to transform data from diverse sources, offering comprehensive,...

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.

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!

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, we look at how you can use pgvector and...