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chore: import upstream snapshot with attribution
2026-07-13 13:38:09 +08:00

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Python

"""
Grep Search Example
Shows how to use grep-based text search instead of semantic search.
Useful when you need exact text matches rather than meaning-based results.
"""
from leann import LeannSearcher
# Load your index
searcher = LeannSearcher("my-documents.leann")
# Regular semantic search
print("=== Semantic Search ===")
results = searcher.search("machine learning algorithms", top_k=3)
for result in results:
print(f"Score: {result.score:.3f}")
print(f"Text: {result.text[:80]}...")
print()
# Grep-based search for exact text matches
print("=== Grep Search ===")
results = searcher.search("def train_model", top_k=3, use_grep=True)
for result in results:
print(f"Score: {result.score}")
print(f"Text: {result.text[:80]}...")
print()
# Find specific error messages
error_results = searcher.search("FileNotFoundError", use_grep=True)
print(f"Found {len(error_results)} files mentioning FileNotFoundError")
# Search for function definitions
func_results = searcher.search("class SearchResult", use_grep=True, top_k=5)
print(f"Found {len(func_results)} class definitions")