Learning Resources
Explore our curated collection of resources to help you build, deploy, and scale AI applications with Heroku and modern AI frameworks.
Heroku AI Platform
Official Heroku AI platform tools and services for building AI applications
Heroku AI
A streamlined platform for building AI-powered apps with integrated tools and services
Heroku Inference
Production-ready AI inference capabilities with managed scaling and deployment
Heroku MCP Server
Model Context Protocol server for enhanced AI model interactions and context management
Example Applications & Tutorials
Real-world examples and step-by-step guides for building AI applications
Ask PDF - RAG with pgvector
Complete retrieval-augmented generation example using PostgreSQL vector embeddings
Building AI Apps with LangChain
Tutorial on how to build AI applications using LangChain and Node.js
Build Agentic AI Apps with LangChain and Node.js
Complete source code for this demonstration app showing various AI patterns
Development Tools & Infrastructure
Buildpacks, deployment tools, and infrastructure components for AI applications
Heroku Reference Applications
Collection of reference applications showcasing best practices and patterns
Heroku LangChain.js SDK
Unofficial LangChain adapter for Heroku Managed Inference and Agents
Heroku Cloud Native Buildpacks
Official buildpacks for deploying applications with cloud-native approach
Ollama Buildpack
Cloud Native Buildpack for running Ollama models in containerized environments
Community & Learning
Community resources, architectural patterns, and learning materials
pgvector for Similarity Search
Learn how to implement vector similarity search using PostgreSQL and pgvector
LLM App Stack
Emerging architectures and patterns for large language model applications