feat: solution for 'Практическое задание: Агент с RAG-памятью'

pyproject.toml

@@ -1,17 +1,11 @@
 [project]
 name = "rag-agent"
 version = "0.1.0"
-description = "AI agent with local RAG memory using Qdrant and Ollama"
-authors = [{name = "Your Name", email = "you@example.com"}]
+description = "RAG agent with Qdrant and Ollama"
 requires-python = ">=3.10"
 dependencies = [
-    "langchain>=0.1.0",
-    "langchain-qdrant>=0.1.0",
-    "langchain-ollama>=0.1.0",
-    "qdrant-client>=1.0.0",
-    "python-dotenv>=1.0.0"
-]
-
-[build-system]
-requires = ["setuptools>=61.0"]
-build-backend = "setuptools.build_meta"
+    "langchain>=0.2.0",
+    "langchain-qdrant",
+    "langchain-ollama",
+    "qdrant-client"
+]