0d9f92ea0f
* Add grep search functionality to LeannSearcher - Add use_grep parameter to search method - Implement grep-based search on .jsonl files - Add fallback Python regex search - Support same SearchResult format as semantic search Addresses issue #86 * fix: resolve linting errors * docs: add grep search example * docs: add grep search to README examples * refactor: remove regex fallback, move grep example to features section * docs: add grep search to Advanced Features with comprehensive guide
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
"""
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Grep Search Example
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Shows how to use grep-based text search instead of semantic search.
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Useful when you need exact text matches rather than meaning-based results.
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"""
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from leann import LeannSearcher
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# Load your index
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searcher = LeannSearcher("my-documents.leann")
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# Regular semantic search
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print("=== Semantic Search ===")
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results = searcher.search("machine learning algorithms", top_k=3)
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for result in results:
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print(f"Score: {result.score:.3f}")
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print(f"Text: {result.text[:80]}...")
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print()
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# Grep-based search for exact text matches
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print("=== Grep Search ===")
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results = searcher.search("def train_model", top_k=3, use_grep=True)
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for result in results:
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print(f"Score: {result.score}")
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print(f"Text: {result.text[:80]}...")
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print()
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# Find specific error messages
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error_results = searcher.search("FileNotFoundError", use_grep=True)
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print(f"Found {len(error_results)} files mentioning FileNotFoundError")
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# Search for function definitions
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func_results = searcher.search("class SearchResult", use_grep=True, top_k=5)
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print(f"Found {len(func_results)} class definitions")
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