向量检索(RAG):基于语义向量相似度检索
AI Knowledge Base Solution
An enterprise AI knowledge base built on Filez, delivering 500%+ parsing speed-up and 85% hybrid retrieval recall. Knowledge access efficiency +100%, utilization +150%, maintenance cost -200%, and init time -300%.
Overview
Deliverables
AI Knowledge Base Solution
High-Performance Vectorized Parsing & Knowledge Ingestion
500%+ parsing speed-up: 100G batch initialization shortens from 28 days to 5 days, with support for hundreds of file formats.
Multi-Channel Recall & Rerank (Hybrid Retrieval)
全文检索(ES):基于关键词精确匹配
混合检索(RAG+LLM & ES+LLM):两路结果融合,权重可调,召回率达85%
动态Rerank算法:关键信息优化
嵌入模型优化与Agent流程编排
Vector + full-text hybrid retrieval, recall at 85%, with dynamic Rerank and Agent orchestration.
Enterprise-Grade Knowledge Security & Access Control
File-level permission checks, DLP controls, preview watermarks, and Q&A strictly bounded by authorization.
- 文件级权限校验:确保员工在授权范围内获取知识
- DLP管控与内容涂黑:防止越权获取敏感数据
- 预览水印:保护核心数据资产
- 基于数据块和文件的权限管控问答边界
- 权限辅助召回机制
Multi-Source Knowledge Ingestion & Multi-Model Ecosystem
Unified aggregation from Filez, enterprise drives, business systems, and personal devices, compatible with mainstream LLMs and private deployments.
- 统一汇聚 Filez平台、企业网盘、业务系统、个人设备 等多源异构数据
- 支持国内外主流大模型供应商
- 支持企业内部私有大模型,保障数据主权
- API/SDK/UI 三种集成方式,跨系统生态嵌入
- 即开即用的知识汇聚与权限体系
Verifiable Citations & Trustworthy AI Q&A
Every answer cites its source, a safety fence constrains Q&A to authorized scope, and AI responds in seconds with related cases.
答案标注来源:每个答案均标注知识来源,可点击查看原始文档
安全围栏机制:问答严格限制在授权知识范围内
大模型回答必须基于真实文档,杜绝凭空捏造
自然语言提问,AI秒级响应并关联相似案例
Quantified Business Benefits & Industry Deployment
Capability points
Knowledge access +100%, utilization +150%, maintenance -200%, init -300% - covering advanced manufacturing, finance, construction, pharma, energy, and education.
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