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# What does this PR do? Another doc enhancement for https://github.com/meta-llama/llama-stack/issues/1818 Summary of changes: - `docs/source/distributions/configuration.md` - Updated dropdown title to include a more user-friendly description. - `docs/_static/css/my_theme.css` - Added styling for `<h3>` elements to set a normal font weight. - `docs/source/distributions/starting_llama_stack_server.md` - Changed section headers from bold text to proper markdown headers (e.g., `##`). - Improved descriptions for starting Llama Stack server using different methods (library, container, conda, Kubernetes). - Enhanced clarity and structure by converting instructions into markdown headers and improved formatting. - `docs/source/getting_started/index.md` - Major restructuring of the "Quick Start" guide: - Added new introductory section for Llama Stack and its capabilities. - Reorganized steps into clearer subsections with proper markdown headers. - Replaced dropdowns with tabbed content for OS-specific instructions. - Added detailed steps for setting up and running the Llama Stack server and client. - Introduced new sections for running basic inference and building agents. - Enhanced readability and visual structure with emojis, admonitions, and examples. - `docs/source/providers/index.md` - Updated the list of LLM inference providers to include "Ollama." - Expanded the list of vector databases to include "SQLite-Vec." Let me know if you need further details! ## Test Plan Renders locally, included screenshot. # Documentation For https://github.com/meta-llama/llama-stack/issues/1818 <img width="1332" alt="Screenshot 2025-04-09 at 11 07 12 AM" src="https://github.com/user-attachments/assets/c106efb9-076c-4059-a4e0-a30fa738585b" /> --------- Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> |
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Llama Stack Documentation
Here's a collection of comprehensive guides, examples, and resources for building AI applications with Llama Stack. For the complete documentation, visit our ReadTheDocs page.
Render locally
pip install -r requirements.txt
cd docs
python -m sphinx_autobuild source _build
You can open up the docs in your browser at http://localhost:8000
Content
Try out Llama Stack's capabilities through our detailed Jupyter notebooks:
- Building AI Applications Notebook - A comprehensive guide to building production-ready AI applications using Llama Stack
- Benchmark Evaluations Notebook - Detailed performance evaluations and benchmarking results
- Zero-to-Hero Guide - Step-by-step guide for getting started with Llama Stack