[Feature] Return score when doing search in vectorDB (#1060)

Co-authored-by: Deven Patel <deven298@yahoo.com>

embedchain/vectordb/qdrant.py

@@ -170,7 +170,7 @@ class QdrantDB(BaseVectorDB):
         skip_embedding: bool,
         citations: bool = False,
         **kwargs: Optional[Dict[str, Any]],
-    ) -> Union[List[Tuple[str, str, str]], List[str]]:
+    ) -> Union[List[Tuple[str, Dict]], List[str]]:
         """
         query contents from vector database based on vector similarity
         :param input_query: list of query string
@@ -219,6 +219,7 @@ class QdrantDB(BaseVectorDB):
             context = result.payload["text"]
             if citations:
                 metadata = result.payload["metadata"]
+                metadata["score"] = result.score
                 contexts.append(tuple((context, metadata)))
             else:
                 contexts.append(context)