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skamenan7 474b50b422 Add configurable embedding models for vector IO providers 
This change lets users configure default embedding models at the provider level instead of always relying on system defaults. Each vector store provider can now specify an embedding_model and optional embedding_dimension in their config.

Key features:
- Auto-dimension lookup for standard models from the registry
- Support for Matryoshka embeddings with custom dimensions
- Three-tier priority: explicit params > provider config > system fallback
- Full backward compatibility - existing setups work unchanged
- Comprehensive test coverage with 20 test cases

Updated all vector IO providers (FAISS, Chroma, Milvus, Qdrant, etc.) with the new config fields and added detailed documentation with examples.

Fixes #2729
2025-07-15 16:46:40 -04:00
..
client-sdk/post_training feat: Add nemo customizer (#1448) 2025-03-25 11:01:10 -07:00
common feat(responses): implement full multi-turn support (#2295) 2025-06-02 15:35:49 -07:00
external-provider/llama-stack-provider-ollama refactor: set proper name for embedding all-minilm:l6-v2 and update to use "starter" in detailed_tutorial (#2627) 2025-07-06 09:07:37 +05:30
integration fix: sambanova shields and model validation (#2693) 2025-07-11 16:29:15 -04:00
unit Add configurable embedding models for vector IO providers 2025-07-15 16:46:40 -04:00
verifications fix(ollama): Download remote image URLs for Ollama (#2551) 2025-06-30 20:36:11 +05:30
__init__.py refactor(test): introduce --stack-config and simplify options (#1404) 2025-03-05 17:02:02 -08:00
Containerfile ci: test safety with starter (#2628) 2025-07-09 16:53:50 +02:00
README.md docs: revamp testing documentation (#2155) 2025-05-13 11:28:29 -07:00

README.md

Llama Stack Tests

Llama Stack has multiple layers of testing done to ensure continuous functionality and prevent regressions to the codebase.

Testing Type Details
Unit unit/README.md
Integration integration/README.md
Verification verifications/README.md