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https://github.com/meta-llama/llama-stack.git
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474b50b422
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 |
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| .. | ||
| access_control | ||
| routers | ||
| routing_tables | ||
| server | ||
| store | ||
| ui | ||
| utils | ||
| __init__.py | ||
| build.py | ||
| build_conda_env.sh | ||
| build_container.sh | ||
| build_venv.sh | ||
| client.py | ||
| common.sh | ||
| configure.py | ||
| datatypes.py | ||
| distribution.py | ||
| inspect.py | ||
| library_client.py | ||
| providers.py | ||
| request_headers.py | ||
| resolver.py | ||
| stack.py | ||
| start_stack.sh | ||