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"""
Retriever module for semantic document search using FAISS.
Provides functions to perform similarity-based lookups over embedded document vectors.
Integrates with FAISS for efficient vector search and returns relevant document matches.
"""
import faiss
import numpy as np
def search_documents(query: str, config: dict):
# TODO: Load FAISS index and metadata
# For now simulate with dummy results
return [f"Match for '{query}' in file1.py", f"Match in utils.py"]
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