Ashwin Bharambe 81ce39a607 feat(api): Add options for supporting various embedding models (#1192) ... We need to support: - asymmetric embedding models (#934) - truncation policies (#933) - varying dimensional output (#932) ## Test Plan ```bash $ cd llama_stack/providers/tests/inference $ pytest -s -v -k fireworks test_embeddings.py \ --inference-model nomic-ai/nomic-embed-text-v1.5 --env EMBEDDING_DIMENSION=784 $ pytest -s -v -k together test_embeddings.py \ --inference-model togethercomputer/m2-bert-80M-8k-retrieval --env EMBEDDING_DIMENSION=784 $ pytest -s -v -k ollama test_embeddings.py \ --inference-model all-minilm:latest --env EMBEDDING_DIMENSION=784 ```		2025-02-20 22:27:12 -08:00
..
meta_reference	ModelAlias -> ProviderModelEntry	2025-02-20 14:02:36 -08:00
sentence_transformers	build: format codebase imports using ruff linter (#1028)	2025-02-13 10:06:21 -08:00
vllm	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
__init__.py	precommit	2024-11-08 17:58:58 -08:00