Update agent and requirements

agent.py

@@ -4,7 +4,7 @@ from langgraph.graph import START, StateGraph, MessagesState
 from langgraph.prebuilt import tools_condition, ToolNode
 from langchain_core.messages import SystemMessage, HumanMessage
 from langchain.tools.retriever import create_retriever_tool
-from langchain_community.vectorstores import Qdrant
+from langchain_qdrant  import QdrantVectorStore
 from qdrant_client import QdrantClient
 from langchain_google_genai import ChatGoogleGenerativeAI
 from langchain_groq import ChatGroq
@@ -25,7 +25,7 @@ qdrant = QdrantClient(
     api_key=os.environ.get("QDRANT_SERVICE_KEY")
 )
 
-vector_store = Qdrant(
+vector_store = QdrantVectorStore(
     client=qdrant,
     embeddings=embeddings,
     collection_name="documents",
@@ -77,9 +77,10 @@ def build_graph(provider: str = "groq"):
     
     def retriever(state: MessagesState):
         """Retriever node"""
-        similar_question = vector_store.similarity_search(state["messages"][0].content)
+        print(state["messages"][0])
+        similar_question = vector_store.similarity_search(state["messages"][0].page_content)
         example_msg = HumanMessage(
-            content=f"Here I provide a similar question and answer for reference: \n\n{similar_question[0].page_content}",
+            content=f"Here I provide a similar question and answer for reference: \n\n{similar_question[0].content}",
         )
         return {"messages": [sys_msg] + state["messages"] + [example_msg]}
 

requirements.txt

@@ -14,4 +14,5 @@ pymupdf
 wikipedia
 python-dotenv
 duckduckgo-search
-sentence-transformers
+sentence-transformers
+langchain_qdrant