From 85f89370c52a9901933a462f25ac2ed7ee293187 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=A0=D0=B8=D0=BD=D0=B0=D1=80=20=D0=9C=D0=B8=D1=80=D0=B7?= =?UTF-8?q?=D0=B0=D0=B3=D0=B8=D1=82=D0=BE=D0=B2?= Date: Wed, 17 Jun 2026 13:10:17 +0000 Subject: [PATCH] =?UTF-8?q?=D0=9E=D0=B1=D0=BD=D0=BE=D0=B2=D0=BB=D0=B5?= =?UTF-8?q?=D0=BD=20vectorstore.py:=20remove=20documents/langgraph=5Fnotes?= =?UTF-8?q?.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- documents/langgraph_notes.md | 7 ------- 1 file changed, 7 deletions(-) delete mode 100644 documents/langgraph_notes.md diff --git a/documents/langgraph_notes.md b/documents/langgraph_notes.md deleted file mode 100644 index 8c83648..0000000 --- a/documents/langgraph_notes.md +++ /dev/null @@ -1,7 +0,0 @@ -# LangGraph notes - -LangGraph is a framework for building stateful AI workflows and agents. - -It is useful when you need explicit control over nodes, edges, checkpoints, retries, and human-in-the-loop steps. - -A graph can route execution between tools, reflection steps, and validation steps.