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# What does this PR do? 'build' command didn't take into account ENABLE flags for starter distro for some reason, I was having issues with HuggingFace access for the embedding model, so added a tip for that as well Closes #2779 ## Test Plan I ran the described steps manually, but it would be nice if someone else could try it and verify this still works We might consider having some CI job ensure the QSG remains functional - it's not a great experience for new users if they try Llama Stack for the first time and it doesn't work as we describe Signed-off-by: Nathan Weinberg <nweinber@redhat.com> |
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| notebooks | ||
| openapi_generator | ||
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| source | ||
| zero_to_hero_guide | ||
| conftest.py | ||
| contbuild.sh | ||
| dog.jpg | ||
| getting_started.ipynb | ||
| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
| license_header.txt | ||
| make.bat | ||
| Makefile | ||
| original_rfc.md | ||
| quick_start.ipynb | ||
| readme.md | ||
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
From the llama-stack root directory, run the following command to render the docs locally:
uv run --group docs sphinx-autobuild docs/source docs/build/html --write-all
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