mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-08-15 14:08:00 +00:00
1f0766308d
Some checks failed
Integration Auth Tests / test-matrix (oauth2_token) (push) Failing after 5s
Test Llama Stack Build / build-ubi9-container-distribution (push) Failing after 7s
Vector IO Integration Tests / test-matrix (3.12, inline::faiss) (push) Failing after 15s
Test Llama Stack Build / generate-matrix (push) Successful in 9s
Vector IO Integration Tests / test-matrix (3.12, remote::chromadb) (push) Failing after 15s
Vector IO Integration Tests / test-matrix (3.12, inline::milvus) (push) Failing after 19s
Test Llama Stack Build / build-custom-container-distribution (push) Failing after 13s
Test Llama Stack Build / build-single-provider (push) Failing after 13s
Vector IO Integration Tests / test-matrix (3.13, remote::pgvector) (push) Failing after 15s
Test External Providers Installed via Module / test-external-providers-from-module (venv) (push) Has been skipped
SqlStore Integration Tests / test-postgres (3.13) (push) Failing after 22s
Vector IO Integration Tests / test-matrix (3.13, remote::chromadb) (push) Failing after 14s
Integration Tests (Replay) / discover-tests (push) Successful in 24s
Vector IO Integration Tests / test-matrix (3.13, remote::qdrant) (push) Failing after 16s
Vector IO Integration Tests / test-matrix (3.12, remote::weaviate) (push) Failing after 17s
Vector IO Integration Tests / test-matrix (3.13, remote::weaviate) (push) Failing after 15s
Vector IO Integration Tests / test-matrix (3.13, inline::milvus) (push) Failing after 17s
Vector IO Integration Tests / test-matrix (3.13, inline::faiss) (push) Failing after 18s
Update ReadTheDocs / update-readthedocs (push) Failing after 12s
Unit Tests / unit-tests (3.12) (push) Failing after 11s
Vector IO Integration Tests / test-matrix (3.12, remote::qdrant) (push) Failing after 16s
Python Package Build Test / build (3.12) (push) Failing after 20s
Python Package Build Test / build (3.13) (push) Failing after 18s
Vector IO Integration Tests / test-matrix (3.12, inline::sqlite-vec) (push) Failing after 18s
Test External API and Providers / test-external (venv) (push) Failing after 18s
Unit Tests / unit-tests (3.13) (push) Failing after 19s
SqlStore Integration Tests / test-postgres (3.12) (push) Failing after 42s
Integration Tests (Replay) / run-replay-mode-tests (push) Failing after 22s
Vector IO Integration Tests / test-matrix (3.13, inline::sqlite-vec) (push) Failing after 1m12s
Vector IO Integration Tests / test-matrix (3.12, remote::pgvector) (push) Failing after 1m15s
Test Llama Stack Build / build (push) Failing after 32s
Pre-commit / pre-commit (push) Successful in 2m39s
# What does this PR do? Adds support to Vector store Open AI APIs in Qdrant. <!-- If resolving an issue, uncomment and update the line below --> Closes #2463 ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com> Co-authored-by: ehhuang <ehhuang@users.noreply.github.com> Co-authored-by: Francisco Arceo <arceofrancisco@gmail.com> |
||
|---|---|---|
| .. | ||
| _static | ||
| notebooks | ||
| openapi_generator | ||
| resources | ||
| 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