1. sqlalchemy CRUD 예제 실습

2. callcenter 프로젝트 제작중

project/CALLCENTER_APP/backend/scripts/build_vector_db.py

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+from langchain_community.vectorstores import Chroma
+from backend.ai.embedding import watson_embedding
+from langchain_core.documents import Document
+from langchain_text_splitters import RecursiveCharacterTextSplitter
+from pathlib import Path
+
+def main():
+    # data 폴더 안의 파일을 읽은 후
+    data_dir = Path("data")
+
+    documents = []
+
+    # Document 객체 생성
+    for file_path in data_dir.glob("*.txt"):
+        content = file_path.read_text(encoding="utf-8")
+        documents.append(Document(page_content=content, metadata={"source": str(file_path.name)}))
+
+    # 분할
+    splitter = RecursiveCharacterTextSplitter(chunk_size=300, chunk_overlap=30)
+    splite_docs = splitter.split_documents(documents)
+
+    # 인덱스 설정(벡터 db) ./vectordb
+    Chroma.from_documents(documents = splite_docs, embedding=watson_embedding, persist_directory="./vectordb")
+
+if __name__ == "__main__":
+    main()