How to Use AI Solutions Camp

How AI Solutions Camp works: deploying AI stacks, documenting AI use cases, writing good solutions and finding what you need.

What this platform is about

AI Solutions Camp combines two things: AI stacks – production-ready, deployable AI infrastructure (RAG pipelines, chatbots, embedding services, agents) with Docker Compose, Helm and Terraform configs – and a use case library, where engineers document real AI problems and the solutions that worked, including code, prompts, architecture diagrams and lessons learned.

Getting started

Pick an AI stack and deploy it with Docker Compose, Helm or Terraform (local or AWS).
Browse use cases to see how others solved a similar problem.
Sign in with GitHub to document your own use case and post solutions.

Writing a good use case

Describe the problem, the constraints and the goal. Add tags so others can find it.

Writing solutions that help

Explain the approach, list the AI tools, add working code and implementation steps, and share accuracy, performance and lessons learned.