[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/distribution/ui/page/distribution/memory_banks.py

@@ -1,23 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-import streamlit as st
-from modules.api import llama_stack_api
-
-
-def memory_banks():
-    st.header("Memory Banks")
-    memory_banks_info = {
-        m.identifier: m.to_dict() for m in llama_stack_api.client.memory_banks.list()
-    }
-
-    if len(memory_banks_info) > 0:
-        selected_memory_bank = st.selectbox(
-            "Select a memory bank", list(memory_banks_info.keys())
-        )
-        st.json(memory_banks_info[selected_memory_bank])
-    else:
-        st.info("No memory banks found")

llama_stack/distribution/ui/page/distribution/resources.py

@@ -6,10 +6,10 @@
 
 from page.distribution.datasets import datasets
 from page.distribution.eval_tasks import eval_tasks
-from page.distribution.memory_banks import memory_banks
 from page.distribution.models import models
 from page.distribution.scoring_functions import scoring_functions
 from page.distribution.shields import shields
+from page.distribution.vector_dbs import vector_dbs
 
 from streamlit_option_menu import option_menu
 
@@ -17,7 +17,7 @@ from streamlit_option_menu import option_menu
 def resources_page():
     options = [
         "Models",
-        "Memory Banks",
+        "Vector Databases",
         "Shields",
         "Scoring Functions",
         "Datasets",
@@ -37,8 +37,8 @@ def resources_page():
     )
     if selected_resource == "Eval Tasks":
         eval_tasks()
-    elif selected_resource == "Memory Banks":
-        memory_banks()
+    elif selected_resource == "Vector Databases":
+        vector_dbs()
     elif selected_resource == "Datasets":
         datasets()
     elif selected_resource == "Models":

llama_stack/distribution/ui/page/distribution/vector_dbs.py

@@ -0,0 +1,23 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+import streamlit as st
+from modules.api import llama_stack_api
+
+
+def vector_dbs():
+    st.header("Vector Databases")
+    vector_dbs_info = {
+        v.identifier: v.to_dict() for v in llama_stack_api.client.vector_dbs.list()
+    }
+
+    if len(vector_dbs_info) > 0:
+        selected_vector_db = st.selectbox(
+            "Select a vector database", list(vector_dbs_info.keys())
+        )
+        st.json(vector_dbs_info[selected_vector_db])
+    else:
+        st.info("No vector databases found")