retriever.py

# 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)