added retrieval

utils/retrieval.py

@@ -0,0 +1,22 @@
+from langchain_community.embeddings import HuggingFaceEmbeddings
+from langchain_community.vectorstores import FAISS
+from langchain.schema import Document
+from typing import List
+
+class Retrieval:
+    def __init__(self, model_name):
+        self.model_name = model_name
+        self.embeddings = HuggingFaceEmbeddings(model_name=model_name)
+        
+
+    def create_vector_store(self, chunks: List[Document]):
+
+        self.chunks = chunks
+        # Create FAISS vector store
+        self.vectorstore = FAISS.from_documents(self.chunks, self.embeddings)
+
+    def search(self,query, k=10) -> List[Document]:
+        # Retrieve top 10 similar chunks
+        similar_docs = self.vectorstore.similarity_search(query, k)
+
+        return similar_docs