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# What does this PR do? <!-- 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] --> - Fixes broken links and Docusaurus search Closes #3518 ## Test Plan The following should produce a clean build with no warnings and search enabled: ``` npm install npm run gen-api-docs all npm run build npm run serve ``` <!-- 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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83 lines
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---
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title: Building Applications
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description: Comprehensive guides for building AI applications with Llama Stack
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sidebar_label: Overview
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sidebar_position: 5
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---
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# AI Application Examples
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Llama Stack provides all the building blocks needed to create sophisticated AI applications.
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## Getting Started
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The best way to get started is to look at this comprehensive notebook which walks through the various APIs (from basic inference, to RAG agents) and how to use them.
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**📓 [Building AI Applications Notebook](https://github.com/meta-llama/llama-stack/blob/main/docs/getting_started.ipynb)**
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## Core Topics
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Here are the key topics that will help you build effective AI applications:
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### 🤖 **Agent Development**
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- **[Agent Framework](./agent.mdx)** - Understand the components and design patterns of the Llama Stack agent framework
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- **[Agent Execution Loop](./agent_execution_loop.mdx)** - How agents process information, make decisions, and execute actions
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- **[Agents vs Responses API](./responses_vs_agents.mdx)** - Learn when to use each API for different use cases
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### 📚 **Knowledge Integration**
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- **[RAG (Retrieval-Augmented Generation)](./rag.mdx)** - Enhance your agents with external knowledge through retrieval mechanisms
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### 🛠️ **Capabilities & Extensions**
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- **[Tools](./tools.mdx)** - Extend your agents' capabilities by integrating with external tools and APIs
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### 📊 **Quality & Monitoring**
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- **[Evaluations](./evals.mdx)** - Evaluate your agents' effectiveness and identify areas for improvement
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- **[Telemetry](./telemetry.mdx)** - Monitor and analyze your agents' performance and behavior
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- **[Safety](./safety.mdx)** - Implement guardrails and safety measures to ensure responsible AI behavior
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### 🎮 **Interactive Development**
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- **[Playground](./playground.mdx)** - Interactive environment for testing and developing applications
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## Application Patterns
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### 🤖 **Conversational Agents**
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Build intelligent chatbots and assistants that can:
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- Maintain context across conversations
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- Access external knowledge bases
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- Execute actions through tool integrations
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- Apply safety filters and guardrails
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### 📖 **RAG Applications**
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Create knowledge-augmented applications that:
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- Retrieve relevant information from documents
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- Generate contextually accurate responses
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- Handle large knowledge bases efficiently
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- Provide source attribution
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### 🔧 **Tool-Enhanced Systems**
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Develop applications that can:
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- Search the web for real-time information
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- Interact with databases and APIs
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- Perform calculations and analysis
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- Execute complex multi-step workflows
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### 🛡️ **Enterprise Applications**
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Build production-ready systems with:
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- Comprehensive safety measures
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- Performance monitoring and analytics
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- Scalable deployment configurations
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- Evaluation and quality assurance
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## Next Steps
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1. **📖 Start with the Notebook** - Work through the complete tutorial
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2. **🎯 Choose Your Pattern** - Pick the application type that matches your needs
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3. **🏗️ Build Your Foundation** - Set up your [providers](/docs/providers/) and [distributions](/docs/distributions/)
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4. **🚀 Deploy & Monitor** - Use our [deployment guides](/docs/deploying/) for production
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## Related Resources
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- **[Getting Started](/docs/getting_started/quickstart)** - Basic setup and concepts
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- **[Providers](/docs/providers/)** - Available AI service providers
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- **[Distributions](/docs/distributions/)** - Pre-configured deployment packages
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- **[API Reference](/docs/api/llama-stack-specification)** - Complete API documentation
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