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# What does this PR do? - Docusaurus server setup - Deprecates Sphinx build pipeline - Deprecates remaining references to Readthedocs - MDX compile errors and broken links to be addressed in follow-up PRs <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan ``` npm install npm gen-api-docs all npm run build ``` <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* -->
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101 lines
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---
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sidebar_position: 1
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title: Welcome to Llama Stack
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description: Llama Stack is the open-source framework for building generative AI applications
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sidebar_label: Intro
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tags:
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- getting-started
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- overview
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---
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# Welcome to Llama Stack
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Llama Stack is the open-source framework for building generative AI applications.
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:::tip Llama 4 is here!
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Check out [Getting Started with Llama 4](https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/getting_started_llama4.ipynb)
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:::
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:::tip News
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Llama Stack is now available! See the [release notes](https://github.com/meta-llama/llama-stack/releases) for more details.
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:::
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## What is Llama Stack?
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Llama Stack defines and standardizes the core building blocks needed to bring generative AI applications to market. It provides a unified set of APIs with implementations from leading service providers, enabling seamless transitions between development and production environments. More specifically, it provides:
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- **Unified API layer** for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry.
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- **Plugin architecture** to support the rich ecosystem of implementations of the different APIs in different environments like local development, on-premises, cloud, and mobile.
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- **Prepackaged verified distributions** which offer a one-stop solution for developers to get started quickly and reliably in any environment
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- **Multiple developer interfaces** like CLI and SDKs for Python, Node, iOS, and Android
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- **Standalone applications** as examples for how to build production-grade AI applications with Llama Stack
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<img src="/img/llama-stack.png" alt="Llama Stack" width="400px" />
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Our goal is to provide pre-packaged implementations (aka "distributions") which can be run in a variety of deployment environments. LlamaStack can assist you in your entire app development lifecycle - start iterating on local, mobile or desktop and seamlessly transition to on-prem or public cloud deployments. At every point in this transition, the same set of APIs and the same developer experience is available.
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## How does Llama Stack work?
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Llama Stack consists of a server (with multiple pluggable API providers) and Client SDKs meant to be used in your applications. The server can be run in a variety of environments, including local (inline) development, on-premises, and cloud. The client SDKs are available for Python, Swift, Node, and Kotlin.
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## Quick Links
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- Ready to build? Check out the [Getting Started Guide](https://llama-stack.github.io/getting_started/quickstart) to get started.
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- Want to contribute? See the [Contributing Guide](https://github.com/llamastack/llama-stack/blob/main/CONTRIBUTING.md).
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- Explore [Example Applications](https://github.com/llamastack/llama-stack-apps) built with Llama Stack.
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## Rich Ecosystem Support
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Llama Stack provides adapters for popular providers across all API categories:
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- **Inference**: Meta Reference, Ollama, Fireworks, Together, NVIDIA, vLLM, AWS Bedrock, OpenAI, Anthropic, and more
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- **Vector Databases**: FAISS, Chroma, Milvus, Postgres, Weaviate, Qdrant, and others
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- **Safety**: Llama Guard, Prompt Guard, Code Scanner, AWS Bedrock
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- **Training & Evaluation**: HuggingFace, TorchTune, NVIDIA NEMO
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:::info Provider Details
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For complete provider compatibility and setup instructions, see our [Providers Documentation](https://llamastack.github.io/providers/).
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:::
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## Get Started Today
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<div style={{display: 'flex', gap: '1rem', flexWrap: 'wrap', margin: '2rem 0'}}>
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<a href="https://llama-stack.github.io/getting_started/quickstart"
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style={{
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background: 'var(--ifm-color-primary)',
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color: 'white',
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padding: '0.75rem 1.5rem',
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borderRadius: '0.5rem',
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textDecoration: 'none',
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fontWeight: 'bold'
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}}>
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🚀 Quick Start Guide
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</a>
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<a href="https://github.com/llamastack/llama-stack-apps"
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style={{
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border: '2px solid var(--ifm-color-primary)',
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color: 'var(--ifm-color-primary)',
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padding: '0.75rem 1.5rem',
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borderRadius: '0.5rem',
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textDecoration: 'none',
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fontWeight: 'bold'
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}}>
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📚 Example Apps
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</a>
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<a href="https://github.com/llamastack/llama-stack"
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style={{
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border: '2px solid #666',
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color: '#666',
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padding: '0.75rem 1.5rem',
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borderRadius: '0.5rem',
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textDecoration: 'none',
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fontWeight: 'bold'
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}}>
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⭐ Star on GitHub
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</a>
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</div>
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