updated ML models

pages/Semantic_Search.py

@@ -265,10 +265,10 @@ if "SAGEMAKER_CrossEncoder_MODEL_ID" not in st.session_state:
     
     
 if "SAGEMAKER_SPARSE_MODEL_ID" not in st.session_state:
-    st.session_state.SAGEMAKER_SPARSE_MODEL_ID = "fkol-ZMBTp0efWqBcO2P"  
+    st.session_state.SAGEMAKER_SPARSE_MODEL_ID = "rWKMoZcBXWKpawCjlOPr"  
     
 if "BEDROCK_TEXT_MODEL_ID" not in st.session_state:
-    st.session_state.BEDROCK_TEXT_MODEL_ID = "usQk-ZMBkiQuoz1QFmXN" 
+    st.session_state.BEDROCK_TEXT_MODEL_ID = "p2KFoZcBXWKpawCjzON4" 
 #bytes_for_rekog = ""
 bedrock_ = boto3.client('bedrock-runtime',
     aws_access_key_id=st.secrets['user_access_key'],

semantic_search/all_search_execute.py

@@ -152,7 +152,7 @@ def handler(input_,session_id):
     ######### Create the queries for hybrid search #########
     
     
-    path = "demostore-search-index-reindex/_search"
+    path = "demostore-search-index-reindex-new/_search"
     
     url = host + path
     
@@ -413,7 +413,7 @@ def handler(input_,session_id):
             del hybrid_payload["query"]["hybrid"]
             hybrid_payload["query"] = single_query
             if(st.session_state.re_ranker == 'true' and st.session_state.input_reranker == 'Cohere Rerank'):
-                path = "demostore-search-index-reindex/_search?search_pipeline=rerank_pipeline" 
+                path = "demostore-search-index-reindex-new/_search?search_pipeline=rerank_pipeline" 
                 url = host + path
                 hybrid_payload["ext"] = {"rerank": {
                                             "query_context": {