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
38 lines
759 B
Plaintext
38 lines
759 B
Plaintext
# FastAPI核心依赖
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fastapi==0.104.1
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uvicorn[standard]==0.24.0
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python-multipart==0.0.6
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# PDF处理 - 使用 pymupdf4llm（替代 nougat，更轻量）
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pymupdf4llm>=0.0.17 # PDF → Markdown，自动包含 pymupdf
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pdfplumber==0.10.3 # 备用 PDF 处理
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# Word处理
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mammoth==1.6.0 # Docx → Markdown
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python-docx==1.1.0 # Docx 读取
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# Excel/CSV处理
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pandas>=2.0.0 # 表格处理
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openpyxl>=3.1.2 # Excel 读取
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tabulate>=0.9.0 # DataFrame → Markdown
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# PPT处理
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python-pptx>=0.6.23 # PPT 读取
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# 语言检测
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langdetect==1.0.9
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# 编码检测
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chardet==5.2.0
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# 工具
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python-dotenv==1.0.0
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pydantic>=2.10.0
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# 日志
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loguru==0.7.2
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# 测试工具
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requests==2.31.0
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