From 6c1ddf8bdd9dcec8c8cc48783b1278247e5ee79b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9A=D0=B8=D1=80=D0=B8=D0=BB=D0=BB=20=D0=9A=D1=83=D1=82?= =?UTF-8?q?=D0=BB=D0=B0=D1=85=D0=BC=D0=B5=D1=82=D0=BE=D0=B2?= Date: Thu, 28 May 2026 13:32:43 +0000 Subject: [PATCH] =?UTF-8?q?=D0=A3=D0=B4=D0=B0=D0=BB=D0=B8=D1=82=D1=8C=20in?= =?UTF-8?q?it=5Fdocuments.py?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- init_documents.py | 20 -------------------- 1 file changed, 20 deletions(-) delete mode 100644 init_documents.py diff --git a/init_documents.py b/init_documents.py deleted file mode 100644 index ccd1165..0000000 --- a/init_documents.py +++ /dev/null @@ -1,20 +0,0 @@ -""" -Script to load all .txt files from a directory into the vector store. -""" -import os -from pathlib import Path -from chunker import load_and_split -from vector_store import vector_store - -if __name__ == "__main__": - docs_dir = Path("docs") - if not docs_dir.exists(): - print("Docs directory not found.") - exit(1) - chunks = load_and_split(docs_dir) - # Each chunk is (text, metadata) - documents = [] - for idx, (chunk, meta) in enumerate(chunks): - documents.append({"content": chunk, "metadata": meta}) - vector_store.add_documents(documents) - print(f"Loaded {len(documents)} chunks into the vector store.")