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# What does this PR do? The goal of this PR is to make the pages easier to navigate by surfacing the child pages on the navbar, updating some of the copy, moving some of the files around. Some changes: 1. Clarifying Titles 2. Restructuring "Distributions" more formally in its own page to be consistent with Providers and adding some clarity to the child pages to surface them and make them easier to navigate 3. Updated sphinx config to not collapse navigation by default 4. Updated copyright year to be calculated dynamically 5. Moved `docs/source/distributions/index.md` -> `docs/source/distributions/starting_llama_stack_server.md` Another for https://github.com/meta-llama/llama-stack/issues/1815 ## Test Plan Tested locally and pages build (screen shots for example). ## Documentation ### Before:  ### After:  Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
31 lines
1.3 KiB
Markdown
31 lines
1.3 KiB
Markdown
# Building AI Applications (Examples)
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Llama Stack provides all the building blocks needed to create sophisticated AI applications.
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The best way to get started is to look at this notebook which walks through the various APIs (from basic inference, to RAG agents) and how to use them.
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**Notebook**: [Building AI Applications](https://github.com/meta-llama/llama-stack/blob/main/docs/getting_started.ipynb)
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Here are some key topics that will help you build effective agents:
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- **[Agent](agent)**: Understand the components and design patterns of the Llama Stack agent framework.
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- **[Agent Execution Loop](agent_execution_loop)**: Understand how agents process information, make decisions, and execute actions in a continuous loop.
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- **[RAG (Retrieval-Augmented Generation)](rag)**: Learn how to enhance your agents with external knowledge through retrieval mechanisms.
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- **[Tools](tools)**: Extend your agents' capabilities by integrating with external tools and APIs.
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- **[Evals](evals)**: Evaluate your agents' effectiveness and identify areas for improvement.
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- **[Telemetry](telemetry)**: Monitor and analyze your agents' performance and behavior.
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- **[Safety](safety)**: Implement guardrails and safety measures to ensure responsible AI behavior.
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```{toctree}
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:hidden:
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:maxdepth: 1
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agent
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agent_execution_loop
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rag
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tools
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telemetry
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evals
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advanced_agent_patterns
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safety
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```
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