forked from phoenix-oss/llama-stack-mirror
28a0fe57cc
# What does this PR do? In several examples we use the same faiss index , which means running it multiple times fills up the index with duplicates which eventually degrades the model performance on RAG as multiple copies of the same irrelevant chunks might be picked up several times. Fix is to ensure we create a new index each time. Resolves issue in this discussion - https://github.com/meta-llama/llama-stack/discussions/995 ## Test Plan Re-ran the getting started guide multiple times to see the same output Co-authored-by: Hardik Shah <hjshah@fb.com> |
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| zero_to_hero_guide | ||
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| getting_started.ipynb | ||
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| requirements.txt | ||
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.
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