phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-10-23 16:37:28 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

chore: Updating how default embedding model is set in stack (#3818)

Browse source 
# What does this PR do?

Refactor setting default vector store provider and embedding model to
use an optional `vector_stores` config in the `StackRunConfig` and clean
up code to do so (had to add back in some pieces of VectorDB). Also
added remote Qdrant and Weaviate to starter distro (based on other PR
where inference providers were added for UX).

New config is simply (default for Starter distro):

```yaml
vector_stores:
  default_provider_id: faiss
  default_embedding_model:
    provider_id: sentence-transformers
    model_id: nomic-ai/nomic-embed-text-v1.5
```

## Test Plan
CI and Unit tests.

---------

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
This commit is contained in:
Francisco Arceo 2025-10-20 17:22:45 -04:00 • committed by GitHub
parent 2c43285e22
commit 48581bf651
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
48 changed files with 973 additions and 818 deletions
Download patch file Download diff file Expand all files Collapse all files

2
tests/unit/providers/vector_io/conftest.py
View file

@ -146,7 +146,6 @@ async def sqlite_vec_adapter(sqlite_vec_db_path, unique_kvstore_config, mock_inf
config=config,
inference_api=mock_inference_api,
files_api=None,
models_api=None,
)
collection_id = f"sqlite_test_collection_{np.random.randint(1e6)}"
await adapter.initialize()
@ -185,7 +184,6 @@ async def faiss_vec_adapter(unique_kvstore_config, mock_inference_api, embedding
config=config,
inference_api=mock_inference_api,
files_api=None,
models_api=None,
)
await adapter.initialize()
await adapter.register_vector_db(