DEBUG: Hybrid Search

functions.py

@@ -100,60 +100,50 @@ def matchPassword(username: str, password: str) -> str:
 
 
 def createTable(tablename: str):
-    try:
-        qdrant = QdrantVectorStore.from_documents(
-            [],
-            embedding = vectorEmbeddings,
-            sparse_embedding=sparseEmbeddings,
-            url=os.environ["QDRANT_URL"],
-            prefer_grpc=True,
-            api_key=os.environ["QDRANT_API_KEY"],
-            collection_name=tablename
-        )
-        return {
-            "output": "SUCCESS"
-        }
-    except Exception as e: 
-        return {
-            "error": e 
-        }
+    qdrant = QdrantVectorStore.from_documents(
+        documents = [],
+        embedding = vectorEmbeddings,
+        sparse_embedding=sparseEmbeddings,
+        url=os.environ["QDRANT_URL"],
+        prefer_grpc=True,
+        api_key=os.environ["QDRANT_API_KEY"],
+        collection_name=tablename
+    )
+    return {
+        "output": "SUCCESS"
+    }
 
 def addDocuments(text: str, vectorstore: str):
-    try:
-        global vectorEmbeddings
-        global sparseEmbeddings
-        global store
-        parentSplitter = RecursiveCharacterTextSplitter(
-            chunk_size = 2100,
-            add_start_index = True
-        )
-        childSplitter = RecursiveCharacterTextSplitter(
-            chunk_size = 300,
-            add_start_index = True
-        )
-        texts = [Document(page_content = text)]
-        vectorstore = QdrantVectorStore.from_existing_collection(
-            embedding = vectorEmbeddings,
-            sparse_embedding=sparseEmbeddings,
-            collection_name=vectorstore,
-            url=os.environ["QDRANT_URL"],
-            api_key=os.environ["QDRANT_API_KEY"],
-            retrieval_mode=RetrievalMode.HYBRID
-        )
-        retriever = ParentDocumentRetriever(
-            vectorstore=vectorstore,
-            docstore=store,
-            child_splitter=childSplitter,
-            parent_splitter=parentSplitter
-        )
-        retriever.add_documents(documents = texts)
-        return {
-            "output": "SUCCESS"
-        }
-    except Exception as e:
-        return {
-            "error": e
-        }
+    global vectorEmbeddings
+    global sparseEmbeddings
+    global store
+    parentSplitter = RecursiveCharacterTextSplitter(
+        chunk_size = 2100,
+        add_start_index = True
+    )
+    childSplitter = RecursiveCharacterTextSplitter(
+        chunk_size = 300,
+        add_start_index = True
+    )
+    texts = [Document(page_content = text)]
+    vectorstore = QdrantVectorStore.from_existing_collection(
+        embedding = vectorEmbeddings,
+        sparse_embedding=sparseEmbeddings,
+        collection_name=vectorstore,
+        url=os.environ["QDRANT_URL"],
+        api_key=os.environ["QDRANT_API_KEY"],
+        retrieval_mode=RetrievalMode.HYBRID
+    )
+    retriever = ParentDocumentRetriever(
+        vectorstore=vectorstore,
+        docstore=store,
+        child_splitter=childSplitter,
+        parent_splitter=parentSplitter
+    )
+    retriever.add_documents(documents = texts)
+    return {
+        "output": "SUCCESS"
+    }
 
 
 def format_docs(docs: str):