Create retriever.py

retriever.py

@@ -0,0 +1,35 @@
+# retriever.py
+
+from typing import Any, Dict, List
+import torch
+from langchain.tools.retriever import create_retriever_tool
+
+class MultiModalRetriever:
+    """
+    Enhanced retrieval system that integrates text, image, and code snippet search.
+    """
+    def __init__(self, text_retriever: Any, clip_model: Any, clip_processor: Any) -> None:
+        self.text_retriever = text_retriever
+        self.clip_model = clip_model
+        self.clip_processor = clip_processor
+        self.code_retriever = create_retriever_tool([], "Code Retriever", "Retriever for code snippets")
+
+    def retrieve(self, query: str, domain: str) -> Dict[str, List]:
+        return {
+            "text": self._retrieve_text(query),
+            "images": self._retrieve_images(query),
+            "code": self._retrieve_code(query)
+        }
+
+    def _retrieve_text(self, query: str) -> List[Any]:
+        return self.text_retriever.invoke(query)
+
+    def _retrieve_images(self, query: str) -> List[str]:
+        inputs = self.clip_processor(text=query, return_tensors="pt")
+        with torch.no_grad():
+            _ = self.clip_model.get_text_features(**inputs)
+        # Placeholder for image retrieval results
+        return ["image_result_1.png", "image_result_2.png"]
+
+    def _retrieve_code(self, query: str) -> List[str]:
+        return self.code_retriever.invoke(query)