Update app.py

app.py

@@ -69,7 +69,7 @@ async def lifespan(app: FastAPI):
     )
         cross_encoder_model = HuggingFaceCrossEncoder(model_name="BAAI/bge-reranker-base")
         # cross_encoder_model = HuggingFaceCrossEncoder(model_name="BAAI/bge-reranker-large")
-        ml_models["reranker_compressor"] = CrossEncoderReranker(model=cross_encoder_model, top_n=5)
+        ml_models["reranker_compressor"] = CrossEncoderReranker(model=cross_encoder_model, top_n=7)
         ml_models["llm"] = ChatGoogleGenerativeAI(
                                model="gemini-1.5-pro",
                                api_key=GOOGLE_API_KEY,
@@ -163,7 +163,7 @@ async def run_hackrx(req: RunRequest):
     )
 
     # dense_retriever = vectorstore.as_retriever(search_type="mmr",search_kwargs={"k": 8})
-    dense_retriever = vectorstore.as_retriever(search_type="mmr",search_kwargs={"k": 8 ,"lambda_mult": 0.5})
+    dense_retriever = vectorstore.as_retriever(search_type="mmr",search_kwargs={"k": 9 ,"lambda_mult": 0.5})
     
 
     # Create retrievers using the pre-loaded models from our ml_models dictionary