[memory refactor][5/n] Migrate all vector_io providers (#835)

See https://github.com/meta-llama/llama-stack/issues/827 for the broader
design.

This PR finishes off all the stragglers and migrates everything to the
new naming.

llama_stack/templates/meta-reference-quantized-gpu/build.yaml

@@ -4,7 +4,7 @@ distribution_spec:
   providers:
     inference:
     - inline::meta-reference-quantized
-    memory:
+    vector_io:
     - inline::faiss
     - remote::chromadb
     - remote::pgvector

llama_stack/templates/meta-reference-quantized-gpu/meta_reference.py

@@ -14,14 +14,14 @@ from llama_stack.providers.inline.inference.meta_reference import (
 from llama_stack.providers.inline.inference.sentence_transformers import (
     SentenceTransformersInferenceConfig,
 )
-from llama_stack.providers.inline.memory.faiss.config import FaissImplConfig
+from llama_stack.providers.inline.vector_io.faiss.config import FaissImplConfig
 from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
 
 
 def get_distribution_template() -> DistributionTemplate:
     providers = {
         "inference": ["inline::meta-reference-quantized"],
-        "memory": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
+        "vector_io": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
@@ -64,7 +64,7 @@ def get_distribution_template() -> DistributionTemplate:
         provider_type="inline::sentence-transformers",
         config=SentenceTransformersInferenceConfig.sample_run_config(),
     )
-    memory_provider = Provider(
+    vector_io_provider = Provider(
         provider_id="faiss",
         provider_type="inline::faiss",
         config=FaissImplConfig.sample_run_config(f"distributions/{name}"),
@@ -93,7 +93,7 @@ def get_distribution_template() -> DistributionTemplate:
             "run.yaml": RunConfigSettings(
                 provider_overrides={
                     "inference": [inference_provider, embedding_provider],
-                    "memory": [memory_provider],
+                    "vector_io": [vector_io_provider],
                 },
                 default_models=[inference_model, embedding_model],
                 default_tool_groups=default_tool_groups,

llama_stack/templates/meta-reference-quantized-gpu/run.yaml

@@ -5,11 +5,11 @@ apis:
 - datasetio
 - eval
 - inference
-- memory
 - safety
 - scoring
 - telemetry
 - tool_runtime
+- vector_io
 providers:
   inference:
   - provider_id: meta-reference-inference
@@ -23,7 +23,7 @@ providers:
   - provider_id: sentence-transformers
     provider_type: inline::sentence-transformers
     config: {}
-  memory:
+  vector_io:
   - provider_id: faiss
     provider_type: inline::faiss
     config:
@@ -106,7 +106,7 @@ models:
   provider_id: sentence-transformers
   model_type: embedding
 shields: []
-memory_banks: []
+vector_dbs: []
 datasets: []
 scoring_fns: []
 eval_tasks: []