52c4cb1dee
1. Recherche: fetchChunkSnippets() — après le classement RRF existant, récupère les passages précis qui matchent depuis NoteEmbeddingChunk. Pur affichage, AUCUN changement de classement. 2. Script migration: scripts/migrate-chunk-embeddings.ts Indexe toutes les notes existantes en fragments. Batch de 10, barre de progression. Usage: npx tsx scripts/migrate-chunk-embeddings.ts 3. Memory Echo chunk-level: à faire (US restante)
56 lines
559 B
Plaintext
56 lines
559 B
Plaintext
# Dependencies
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node_modules/
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# Build output
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.next/
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out/
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build/
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dist/
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# Environment files
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.env
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.env.local
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.env.docker
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# Database
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*.db
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*.db-journal
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prisma/dev.db
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# Generated
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memento-note/prisma/generated/
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mcp-server/prisma/generated/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS
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.DS_Store
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Thumbs.db
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# Logs
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*.log
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npm-debug.log*
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# Uploads (user data)
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memento-note/public/uploads/
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# Test
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coverage/
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test-results/
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playwright-report/
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# Docker
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docker-data/
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# Misc
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*.tsbuildinfo
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next-env.d.ts
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# Monitoring secrets (generate at deploy)
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monitoring/metrics-token
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