Everything you need to build a secure AI application: chatbot, backend, RAG, MCP, and integrated Adlibo security. Complete source code with educational documentation.
git clone https://git.adlibo.com/Adlibo/starter-kit.git && cd starter-kitnpm installcp .env.example .env.localnpm run devCreate your free account to get your API key: adlibo.com/register/starter-kit
Six essential components to start your AI project with security best practices.
Complete React/Next.js interface with modern UI, customizable themes and conversational UX.
Node.js/Python API to orchestrate LLM calls with token management, streaming and retry.
Complete RAG pipeline with embeddings, vector store and semantic retrieval for your documents.
MCP (Model Context Protocol) connectors to integrate external tools and automated actions.
Adlibo Prompt Guard (regex + TF-IDF semantic) and DLP pre-integrated. Protection against injections and data leaks from day one.
Architecture prepared for role-based access control. Define who can query which data.
Structured in three phases to guide you from theory to production.
What differentiates us from other boilerplates and tutorials.
Not a theoretical tutorial. Working code you can deploy and customize immediately.
Security is not an afterthought. It's built-in from the start with industry best practices.
Learn while building. Every component is documented with the "why" in addition to the "how".
Focus on what matters: security, performance, maintainability. No unnecessary complexity.
If you already have AI applications in production, check out our products to secure your existing infrastructure.
See Prompt GuardDownload the kit, follow the documentation, and deploy your first secure AI application.