| """ | |
| 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"] | |