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feat: Implement adaptive RRF weights and query intent detection
- Added integration tests for adaptive RRF weights in hybrid search. - Enhanced query intent detection with new classifications: keyword, semantic, and mixed. - Introduced symbol boosting in search results based on explicit symbol matches. - Implemented embedding-based reranking with configurable options. - Added global symbol index for efficient symbol lookups across projects. - Improved file deletion handling on Windows to avoid permission errors. - Updated chunk configuration to increase overlap for better context. - Modified package.json test script to target specific test files. - Created comprehensive writing style guidelines for documentation. - Added TypeScript tests for query intent detection and adaptive weights. - Established performance benchmarks for global symbol indexing.
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@@ -147,9 +147,9 @@ export { initApp, processData, Application };
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assert.ok('success' in result, 'Result should have success property');
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if (result.success) {
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// Check that .codexlens directory was created
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const codexlensDir = join(testDir, '.codexlens');
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assert.ok(existsSync(codexlensDir), '.codexlens directory should exist');
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// CodexLens stores indexes in the global data directory (e.g. ~/.codexlens/indexes)
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// rather than creating a per-project ".codexlens" folder.
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assert.ok(true);
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}
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});
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