feat(rag): Complete RAG engine implementation with pgvector

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
This commit is contained in:
2026-01-21 20:24:29 +08:00
parent 1f5bf2cd65
commit 40c2f8e148
338 changed files with 11014 additions and 1158 deletions

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@@ -3,25 +3,31 @@ fastapi==0.104.1
uvicorn[standard]==0.24.0
python-multipart==0.0.6
# PDF处理
PyMuPDF>=1.24.0 # 使用更新版本有预编译wheel
pdfplumber==0.10.3
nougat-ocr==0.1.17 # 学术PDF高质量提取英文
albumentations==1.3.1 # Nougat兼容版本不要升级到2.x
# PDF处理 - 使用 pymupdf4llm替代 nougat更轻量
pymupdf4llm>=0.0.17 # PDF → Markdown自动包含 pymupdf
pdfplumber==0.10.3 # 备用 PDF 处理
# Docx处理Day 3需要
mammoth==1.6.0
python-docx==1.1.0
# Word处理
mammoth==1.6.0 # Docx → Markdown
python-docx==1.1.0 # Docx 读取
# 语言检测Day 2需要
# Excel/CSV处理
pandas>=2.0.0 # 表格处理
openpyxl>=3.1.2 # Excel 读取
tabulate>=0.9.0 # DataFrame → Markdown
# PPT处理
python-pptx>=0.6.23 # PPT 读取
# 语言检测
langdetect==1.0.9
# 编码检测Day 3需要
# 编码检测
chardet==5.2.0
# 工具
python-dotenv==1.0.0
pydantic>=2.10.0 # 使用更新版本有预编译wheel
pydantic>=2.10.0
# 日志
loguru==0.7.2