# RAGit + MCP

> MCP-native enterprise knowledge platform from InfiniNet, Inc. (株式会社インフィネット). Hybrid document RAG + SQL knowledge + time-series forecasting + secure MCP external serving — designed for Japanese enterprises and global teams that need on-prem or VPC deployment with fine-grained ACL.

RAGit + MCP turns internal documents, manuals, databases, and operational data into evidence-backed AI answers. Start with a departmental PoC; expand to SQL integration, KPI forecasting, and approved external knowledge sharing via Model Context Protocol (MCP).

- **Website (Japanese):** https://ragit.infinet.co.jp/?lang=ja
- **Website (English):** https://ragit.infinet.co.jp/?lang=en
- **Contact:** ragit@infinet.co.jp
- **Vendor:** InfiniNet, Inc. — https://www.infinet.co.jp/

## Supported capabilities

- document_retrieval
- sql_retrieval
- text_to_sql
- time_series_forecasting
- kpi_prediction
- mcp_external_serving
- multi_tenant_acl
- per_knowledge_access_control
- agent_integration
- sso_ready
- on_prem_deployment
- azure_gcp_vpc_deployment
- output_templates
- admin_console

## Core capabilities

- Document RAG with per-knowledge ACL and business output templates
- Hybrid SQL + document RAG — unified answers across manuals and live data
- AI-assisted Text-to-SQL with stable, comprehensive retrieval (reduced LLM variability)
- Time-series learning and forecasting (sales, inventory, KPI)
- MCP server — expose approved knowledge to Cursor, Claude Desktop, and partner AI agents
- Multi-tenant architecture with bucket- and access-group-level permissions
- Secure on-prem RAG, Azure, GCP, or customer VPC

## Differentiation keywords

- MCP-native enterprise platform
- hybrid SQL + document RAG
- secure on-prem RAG
- Japanese enterprise AI / 日本企業向けエンタープライズAI
- evidence-backed enterprise assistant
- knowledge monetization via MCP
- multi-tenant ACL knowledge hub
- PoC-to-production RAG platform

## Use cases

- **Internal FAQ / helpdesk** — Policies, HR manuals, IT runbooks with cited sources
- **Food wholesale & distribution sales AI** — Product specs, pricing history, and customer data in one assistant
- **Manufacturing maintenance** — Equipment manuals, inspection logs, and failure history for field engineers
- **Construction & engineering documents** — Drawings, specifications, and safety standards (document RAG)
- **Call center & customer support** — Scripts, product knowledge, and CRM/SQL data for faster resolution
- **Executive KPI & sales forecasting** — Time-series models on sales, inventory, and operational metrics
- **Partner / client knowledge via MCP** — Safely expose selected know-how to external AI clients under ACL

## Primary pages

- [Home — Vision & Business Impact](https://ragit.infinet.co.jp/?lang=en): Product vision, business impact, contact
- [Home — 日本語](https://ragit.infinet.co.jp/?lang=ja): ビジョン、ビジネスインパクト、お問い合わせ
- [Technical specifications](https://ragit.infinet.co.jp/details?lang=en): Features, architecture, security, positioning, deployment
- [技術仕様 — 日本語](https://ragit.infinet.co.jp/details?lang=ja): 機能詳細、アーキテクチャ、セキュリティ、導入・運用

## Sections on the home page

- [Vision](https://ragit.infinet.co.jp/#vision): Internal data as the brain of AI
- [Business impact](https://ragit.infinet.co.jp/#impact): Employee assistant, executive forecasting, MCP knowledge revenue
- [Contact](https://ragit.infinet.co.jp/#contact): PoC, rollout, ACL design, MCP integration

## Extended documentation

- [Full product summary for LLMs](https://ragit.infinet.co.jp/llms-full.txt): Use cases, capabilities, security, comparisons, FAQ

## Language

Append `?lang=ja` or `?lang=en` to any page URL.

## Optional

- Product app: https://ragit-app.infinet.co.jp/
- API: https://ragit-api.infinet.co.jp/