UPDATE: QDRANT

functions.py

@@ -130,30 +130,25 @@ def format_docs(docs: str):
     return context
 
 def answerQuery(query: str, vectorstore: str, llmModel: str = "llama3-70b-8192") -> str:
-    try:
-        global prompt 
-        global client
-        global embeddings
-        vectorstore = QdrantVectorStore.from_existing_collection(
-            embedding = embeddings,
-            collection_name=vectorstore,
-            url=os.environ["QDRANT_URL"],
-            api_key=os.environ["QDRANT_API_KEY"]
+    global prompt 
+    global client
+    global embeddings
+    vectorstore = QdrantVectorStore.from_existing_collection(
+        embedding = embeddings,
+        collection_name=vectorstore,
+        url=os.environ["QDRANT_URL"],
+        api_key=os.environ["QDRANT_API_KEY"]
+    )
+    retriever = vectorstore.as_retriever()
+    chain = (
+        {"context": retriever | RunnableLambda(format_docs), "question": RunnablePassthrough(query)}
+        | prompt
+        | ChatGroq(model = llmModel, temperature = 0.3, max_tokens = 512)
+        | StrOutputParser()
         )
-        retriever = vectorstore.as_retriever()
-        chain = (
-            {"context": retriever | RunnableLambda(format_docs), "question": RunnablePassthrough(query)}
-            | prompt
-            | ChatGroq(model = llmModel, temperature = 0.3, max_tokens = 512)
-            | StrOutputParser()
-            )
-        return {
-            "output": chain.invoke(query)
-        }
-    except Exception as e:
-        return {
-            "error": e
-        }
+    return {
+        "output": chain.invoke(query)
+    }
 
 
 def deleteTable(tableName: str):