Solution published: update main.py

main.py

@@ -11,7 +11,6 @@ from langchain_core.tools import tool
 from langchain_ollama import ChatOllama, OllamaEmbeddings
 from langchain_qdrant import QdrantVectorStore
 from langchain_text_splitters import RecursiveCharacterTextSplitter
-from qdrant_client import QdrantClient
 from qdrant_client import QdrantClient, Distance, VectorParams
 
 QDRANT_URL = os.getenv("QDRANT_URL", "http://localhost:6333")
@@ -43,7 +42,7 @@ def get_vector_store() -> QdrantVectorStore:
 
 
 def chunk_document(content: str, title: str) -> list[Document]:
-    splitter = RecursiveCharacterTextSplitter(chunk_size=700, chunk_overlap=100)
+    splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=100)
     return splitter.create_documents([content], metadatas=[{"title": title}])