Spark RAG Cloud
Spark RAG Cloud
Enterprise knowledge activation layer / 企业知识激活层
Spark RAG Cloud transforms enterprise documents, records, policies, and domain knowledge into governed AI context for search, copilots, agents, and decision workflows. 将企业文档、业务知识和权限治理连接为可检索、可追溯、可私有化部署的AI知识平台。
Knowledge Activation
A governed retrieval layer that connects documents, vector databases, models, and AI answers.
Layer 01
Documents
Layer 02
Vector Database
Layer 03
LLM Orchestration
Layer 04
AI Answer
Core Capabilities / 核心能力
Spark RAG Cloud platform capabilities.
Designed as part of the Spark AI product ecosystem, each capability connects operational needs with long-term data asset infrastructure.
企业知识库 / Knowledge Base
整合文档、制度、案例、记录与专家知识，形成可检索的企业知识资产。
私有化部署 / Private Deployment
支持本地、私有云与混合云部署，满足数据安全、权限与合规要求。
多模型接入 / Multi-Model Access
对接主流大模型与私有模型，按场景调度最适合的AI能力。
企业AI搜索 / AI Search
以权限治理、语义检索与答案生成提升企业知识查找效率。
Use Cases / 应用场景
Built for practical enterprise deployment.
Spark AI products support regulated, data-intensive, and knowledge-heavy organizations moving from AI pilots to production infrastructure.
企业客服 / Customer Support
将产品文档、服务记录和FAQ转化为可控的AI答案能力。
法律顾问 / Legal Advisory
支持合同、法规、案例与内部制度的权限化检索与问答。
医疗知识库 / Healthcare Knowledge
连接指南、病例知识、影像报告与专科知识管理流程。
制造业知识管理 / Manufacturing KM
激活工艺文件、维修记录、质量标准与现场经验。
Architecture / 架构
Spark RAG Cloud architecture.
Each layer is designed to interoperate with Spark AI's cold data, knowledge, compute, and data asset infrastructure.
01
Documents
Ingest enterprise files, policies, records, and domain content.
02
Vector Database
Index governed knowledge for semantic retrieval and permissions.
03
LLM Orchestration
Route queries to private or external models with controls.
04
AI Answer
Generate traceable, permission-aware enterprise answers.
Spark RAG Cloud
Turn enterprise knowledge into trusted AI answers.
与Spark AI讨论企业知识库、私有化部署、多模型接入和AI搜索场景。