diff --git a/comps/embeddings/README.md b/comps/embeddings/README.md
index eacefac1f..ce4b4fa46 100644
--- a/comps/embeddings/README.md
+++ b/comps/embeddings/README.md
@@ -155,6 +155,6 @@ curl http://localhost:6000/v1/health_check\
 ```bash
 curl http://localhost:6000/v1/embeddings\
   -X POST \
-  -d '{"input":"Hello, world!"}' \
+  -d '{"text":"Hello, world!"}' \
   -H 'Content-Type: application/json'
 ```
diff --git a/comps/embeddings/langchain/embedding_tei.py b/comps/embeddings/langchain/embedding_tei.py
index 583e24d5a..6a5fbc614 100644
--- a/comps/embeddings/langchain/embedding_tei.py
+++ b/comps/embeddings/langchain/embedding_tei.py
@@ -5,7 +5,7 @@
 import time
 from typing import Union
 
-from langchain_community.embeddings import HuggingFaceHubEmbeddings
+from langchain_huggingface import HuggingFaceEndpointEmbeddings
 from langsmith import traceable
 
 from comps import (
@@ -61,6 +61,6 @@ def embedding(
 
 if __name__ == "__main__":
     tei_embedding_endpoint = os.getenv("TEI_EMBEDDING_ENDPOINT", "http://localhost:8080")
-    embeddings = HuggingFaceHubEmbeddings(model=tei_embedding_endpoint)
+    embeddings = HuggingFaceEndpointEmbeddings(model=tei_embedding_endpoint)
     print("TEI Gaudi Embedding initialized.")
     opea_microservices["opea_service@embedding_tei_langchain"].start()
diff --git a/comps/embeddings/langchain/local_embedding.py b/comps/embeddings/langchain/local_embedding.py
index 4aff07c6d..1a3825c40 100644
--- a/comps/embeddings/langchain/local_embedding.py
+++ b/comps/embeddings/langchain/local_embedding.py
@@ -1,7 +1,7 @@
 # Copyright (C) 2024 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-from langchain_community.embeddings import HuggingFaceBgeEmbeddings
+from langchain_huggingface import HuggingFaceEmbeddings
 
 from comps import EmbedDoc, ServiceType, TextDoc, opea_microservices, opea_telemetry, register_microservice
 
@@ -23,5 +23,5 @@ def embedding(input: TextDoc) -> EmbedDoc:
 
 
 if __name__ == "__main__":
-    embeddings = HuggingFaceBgeEmbeddings(model_name="BAAI/bge-large-en-v1.5")
+    embeddings = HuggingFaceEmbeddings(model_name="BAAI/bge-large-en-v1.5")
     opea_microservices["opea_service@local_embedding"].start()
diff --git a/comps/embeddings/langchain/requirements.txt b/comps/embeddings/langchain/requirements.txt
index eaa946aad..8f0dd3ad4 100644
--- a/comps/embeddings/langchain/requirements.txt
+++ b/comps/embeddings/langchain/requirements.txt
@@ -2,6 +2,7 @@ docarray[full]
 fastapi
 huggingface_hub
 langchain
+langchain_huggingface
 langsmith
 opentelemetry-api
 opentelemetry-exporter-otlp