Document Deduplication Pipeline

Build a document deduplication pipeline for our RAG corpus.

## Corpus Statistics
{{corpus_stats}}

## Deduplication Goals
{{dedup_goals}}

## Resource Constraints
{{resource_constraints}}

Implement deduplication:

```python
class DocumentDeduplicator:
    def find_exact_duplicates(self, documents: List[Document]) -> List[Set[str]]:
        """Hash-based exact matching"""
        pass
    
    def find_near_duplicates(self, documents: List[Document], threshold: float) -> List[Set[str]]:
        """MinHash/LSH for near-duplicates"""
        pass
    
    def find_semantic_duplicates(self, documents: List[Document], threshold: float) -> List[Set[str]]:
        """Embedding-based similarity"""
        pass
    
    def merge_strategy(self, duplicate_set: Set[str]) -> Document:
        """Select best representative or merge"""
        pass
```

Include:
- Scalable implementation (100M+ docs)
- Quality preservation
- Incremental deduplication
- Audit trail