Retriever - LangGraph version

retriever.py

@@ -1,33 +1,35 @@
-from smolagents import Tool
+# retriever tool
+from langchain.tools import Tool
 from langchain_community.retrievers import BM25Retriever
-from langchain.docstore.document import Document
+
+# load dataset
 import datasets
+from langchain.docstore.document import Document
+
 
+###########################
+# Retriever - changed to LangGraph version
+###########################
+bm25_retriever = BM25Retriever.from_documents(docs)
 
-class GuestInfoRetrieverTool(Tool):
-    name = "guest_info_retriever"
-    description = "Retrieves detailed information about gala guests based on their name or relation."
-    inputs = {
-        "query": {
-            "type": "string",
-            "description": "The name or relation of the guest you want information about."
-        }
-    }
-    output_type = "string"
+def extract_text(query: str) -> str:
+    """Retrieves detailed information about gala guests based on their name or relation."""
+    results = bm25_retriever.invoke(query)
+    if results:
+        return "\n\n".join([doc.page_content for doc in results[:3]])
+    else:
+        return "No matching guest information found."
 
-    def __init__(self, docs):
-        self.is_initialized = False
-        self.retriever = BM25Retriever.from_documents(docs)
-       
+guest_info_tool = Tool(
+    name="guest_info_retriever",
+    func=extract_text,
+    description="Retrieves detailed information about gala guests based on their name or relation."
+)
+###########################
 
-    def forward(self, query: str):
-        results = self.retriever.get_relevant_documents(query)
-        if results:
-            return "\n\n".join([doc.page_content for doc in results[:3]])
-        else:
-            return "No matching guest information found."
 
 
+# no change from smolagents to LangGraph
 def load_guest_dataset():
     # Load the dataset
     guest_dataset = datasets.load_dataset("agents-course/unit3-invitees", split="train")