diff --git a/gpt_researcher/llm_provider/generic/base.py b/gpt_researcher/llm_provider/generic/base.py
index 05536f6f6..4c4757c3d 100644
--- a/gpt_researcher/llm_provider/generic/base.py
+++ b/gpt_researcher/llm_provider/generic/base.py
@@ -17,6 +17,7 @@
     "huggingface",
     "groq",
     "bedrock",
+    "dashscope"
     "xai",
 }
 
@@ -103,6 +104,11 @@ def from_provider(cls, provider: str, **kwargs: Any):
                 model_id = kwargs.pop("model", None) or kwargs.pop("model_name", None)
                 kwargs = {"model_id": model_id, **kwargs}
             llm = ChatBedrock(**kwargs)
+        elif provider == "dashscope":
+            _check_pkg("langchain_dashscope")
+            from langchain_dashscope import ChatDashScope
+
+            llm = ChatDashScope(**kwargs)
         elif provider == "xai":
             _check_pkg("langchain_xai")
             from langchain_xai import ChatXAI
diff --git a/gpt_researcher/memory/embeddings.py b/gpt_researcher/memory/embeddings.py
index 0c5e7ada5..f423dc2b9 100644
--- a/gpt_researcher/memory/embeddings.py
+++ b/gpt_researcher/memory/embeddings.py
@@ -18,6 +18,7 @@
     "huggingface",
     "nomic",
     "voyageai",
+    "dashscope",
     "custom",
 }
 
@@ -102,6 +103,10 @@ def __init__(self, embedding_provider: str, model: str, **embdding_kwargs: Any):
                     model=model,
                     **embdding_kwargs,
                 )
+            case "dashscope":
+                from langchain_community.embeddings import DashScopeEmbeddings
+
+                _embeddings = DashScopeEmbeddings(model=model, **embdding_kwargs)
             case _:
                 raise Exception("Embedding not found.")