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Merge branch 'main' into use-openai-for-databricks

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This commit is contained in:
Matthew Farrellee 2025-09-20 06:16:54 -04:00
commit c8623607f5
31 changed files with 665 additions and 691 deletions
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6
docs/source/getting_started/detailed_tutorial.md
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@ -460,10 +460,12 @@ client = LlamaStackClient(base_url="http://localhost:8321")
embed_lm = next(m for m in client.models.list() if m.model_type == "embedding")
embedding_model = embed_lm.identifier
vector_db_id = f"v{uuid.uuid4().hex}"
client.vector_dbs.register(
# The VectorDB API is deprecated; the server now returns its own authoritative ID.
# We capture the correct ID from the response's .identifier attribute.
vector_db_id = client.vector_dbs.register(
vector_db_id=vector_db_id,
embedding_model=embedding_model,
)
).identifier
# Create Documents
urls = [

8
docs/source/providers/vector_io/remote_milvus.md
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@ -23,7 +23,13 @@ To use Milvus in your Llama Stack project, follow these steps:
## Installation
You can install Milvus using pymilvus:
If you want to use inline Milvus, you can install:
```bash
pip install pymilvus[milvus-lite]
```
If you want to use remote Milvus, you can install:
```bash
pip install pymilvus