diff --git a/libs/community/langchain_community/vectorstores/surrealdb.py b/libs/community/langchain_community/vectorstores/surrealdb.py
index a96c2410fe..773a00cc57 100644
--- a/libs/community/langchain_community/vectorstores/surrealdb.py
+++ b/libs/community/langchain_community/vectorstores/surrealdb.py
@@ -62,7 +62,7 @@ class SurrealDBStore(VectorStore):
         self.db = kwargs.pop("db", "database")
         self.dburl = kwargs.pop("dburl", "ws://localhost:8000/rpc")
         self.embedding_function = embedding_function
-        self.sdb = Surreal()
+        self.sdb = Surreal(self.dburl)
         self.kwargs = kwargs
 
     async def initialize(self) -> None:
@@ -103,8 +103,12 @@ class SurrealDBStore(VectorStore):
         embeddings = self.embedding_function.embed_documents(list(texts))
         ids = []
         for idx, text in enumerate(texts):
+            data = {"text": text, "embedding": embeddings[idx]}
+            if metadatas is not None and idx < len(metadatas):
+                data["metadata"] = metadatas[idx]
             record = await self.sdb.create(
-                self.collection, {"text": text, "embedding": embeddings[idx]}
+                self.collection,
+                data,
             )
             ids.append(record[0]["id"])
         return ids
@@ -123,7 +127,16 @@ class SurrealDBStore(VectorStore):
         Returns:
             List of ids for the newly inserted documents
         """
-        return asyncio.run(self.aadd_texts(texts, metadatas, **kwargs))
+
+        async def _add_texts(
+            texts: Iterable[str],
+            metadatas: Optional[List[dict]] = None,
+            **kwargs: Any,
+        ) -> List[str]:
+            await self.initialize()
+            return await self.aadd_texts(texts, metadatas, **kwargs)
+
+        return asyncio.run(_add_texts(texts, metadatas, **kwargs))
 
     async def adelete(
         self,
@@ -195,7 +208,7 @@ class SurrealDBStore(VectorStore):
             "k": k,
             "score_threshold": kwargs.get("score_threshold", 0),
         }
-        query = """select id, text,
+        query = """select id, text, metadata,
         vector::similarity::cosine(embedding,{embedding}) as similarity
         from {collection}
         where vector::similarity::cosine(embedding,{embedding}) >= {score_threshold}
@@ -208,7 +221,10 @@ class SurrealDBStore(VectorStore):
 
         return [
             (
-                Document(page_content=result["text"], metadata={"id": result["id"]}),
+                Document(
+                    page_content=result["text"],
+                    metadata={"id": result["id"], **result["metadata"]},
+                ),
                 result["similarity"],
             )
             for result in results[0]["result"]
@@ -401,7 +417,7 @@ class SurrealDBStore(VectorStore):
 
         sdb = cls(embedding, **kwargs)
         await sdb.initialize()
-        await sdb.aadd_texts(texts)
+        await sdb.aadd_texts(texts, metadatas, **kwargs)
         return sdb
 
     @classmethod