Upload embedding.py

app/embedding.py

@@ -0,0 +1,33 @@
+from langchain.embeddings.base import Embeddings
+from typing import List, Dict, Any
+import requests
+import os
+
+embedding_host = os.getenv("EMBEDDING_HOST", "http://183.111.96.67:30136")
+
+class WeaviateCustomEmbeddings(Embeddings):
+    """커스텀 엔드포인트를 사용하는 임베딩 모델"""
+
+    def __init__(self):
+        self.api_url = embedding_host.rstrip("/")
+        print(self.api_url)
+
+    def embed_documents(self, texts: List[str]) -> List[List[float]]:
+        """문서 리스트를 임베딩합니다."""
+        embeddings = []
+        for text in texts:
+            embeddings.append(self.embed_query(text))
+        return embeddings
+
+    def embed_query(self, text: str) -> List[float]:
+        """쿼리 텍스트를 임베딩합니다."""
+        query_text = text.question if hasattr(text, 'question') else str(text)
+
+        response = requests.post(
+            f"{self.api_url}/vectors",
+            json={"text": query_text}
+        )
+        if response.status_code != 200:
+            raise ValueError(f"임베딩 API 호출 실패: {self.api_url}/vectors, {query_text}, {response.status_code}, {response.text}")
+
+        return response.json()["vector"]