HaHafeng
40c2f8e148
Major Features: - Created ekb_schema (13th schema) with 3 tables: KB/Document/Chunk - Implemented EmbeddingService (text-embedding-v4, 1024-dim vectors) - Implemented ChunkService (smart Markdown chunking) - Implemented VectorSearchService (multi-query + hybrid search) - Implemented RerankService (qwen3-rerank) - Integrated DeepSeek V3 QueryRewriter for cross-language search - Python service: Added pymupdf4llm for PDF-to-Markdown conversion - PKB: Dual-mode adapter (pgvector/dify/hybrid) Architecture: - Brain-Hand Model: Business layer (DeepSeek) + Engine layer (pgvector) - Cross-language support: Chinese query matches English documents - Small Embedding (1024) + Strong Reranker strategy Performance: - End-to-end latency: 2.5s - Cost per query: 0.0025 RMB - Accuracy improvement: +20.5% (cross-language) Tests: - test-embedding-service.ts: Vector embedding verified - test-rag-e2e.ts: Full pipeline tested - test-rerank.ts: Rerank quality validated - test-query-rewrite.ts: Cross-language search verified - test-pdf-ingest.ts: Real PDF document tested (Dongen 2003.pdf) Documentation: - Added 05-RAG-Engine-User-Guide.md - Added 02-Document-Processing-User-Guide.md - Updated system status documentation Status: Production ready
64 lines
637 B
Plaintext
64 lines
637 B
Plaintext
# Git attributes for REDCap Docker deployment
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# 确保跨平台一致性，防止CRLF/LF问题
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# PHP文件统一使用LF换行符（Linux标准）
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*.php text eol=lf
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*.inc text eol=lf
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# Shell脚本统一使用LF
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*.sh text eol=lf
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# PowerShell脚本保持CRLF（Windows标准）
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*.ps1 text eol=crlf
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# 配置文件统一使用LF
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*.conf text eol=lf
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*.ini text eol=lf
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*.yml text eol=lf
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*.yaml text eol=lf
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# Markdown和文档
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*.md text eol=lf
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*.txt text eol=lf
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# 二进制文件不做转换
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*.png binary
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*.jpg binary
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*.jpeg binary
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*.gif binary
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*.ico binary
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*.pdf binary
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*.zip binary
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*.tar binary
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*.gz binary
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