Maximize Your Internal
Knowledge with AI
Build your company's high-precision AI environment using RAG (Retrieval-Augmented Generation) technology. Dramatically improve work efficiency.
Seamless Integration with
AI Assistants
Intuitive information access without interrupting development workflow
・ Full MCP (Model Context Protocol) compliance: Access your project's knowledge base directly from familiar AI assistants like Claude Desktop and Cursor.
・ Automatic context provision: When developers ask questions, AI automatically references relevant information through RAG System to generate accurate responses aligned with project context.
Outstanding Search Accuracy
From time searching to time creating
・ Hybrid search: Combining latest vector search with traditional keyword search to understand intent from vague questions and provide the most relevant information.
・ GraphRAG technology: Understanding relationships between documents through graph structure, enabling responses based on deeper insights not available from single documents.
Enterprise-Level
Security and Management
Robust system foundation for confident company-wide deployment
・ Multi-tenant support: Build independent knowledge bases for each department or team, achieving secure information management.
・ API key authentication: Prevent unauthorized access and strictly manage access permissions for each project.
・ Audit logs and usage monitoring: Visualize system usage to facilitate compliance and cost management.
What is RAG System?
RAG System is a next-generation RAG (Retrieval-Augmented Generation) system designed to dramatically improve productivity in AI-assisted development.
It enables your company's vast documents and codebase knowledge to be directly and securely accessed from AI assistants like Claude and Cursor. This allows developers to instantly find the information they need and focus on more creative work.
Do you face these challenges?
- ✓Information Silos: Developers spend significant time searching for necessary documents and past discussions.
- ✓Knowledge Dependency: Internal knowledge depends on specific individuals and is not shared or utilized across the organization.
- ✓AI Limitations: AI assistants are deployed but cannot understand project-specific context, providing only general and inaccurate responses.
- ✓Security Concerns: There are security concerns about using highly confidential information with AI services.
These challenges directly lead to development delays, decreased productivity, and innovation barriers.
AI Searches and Creates Answers
Unimon's RAG is not just an information retrieval tool. AI deeply understands vast documents scattered throughout the company and generates accurate responses based on context, dramatically improving employee productivity.
Time spent on information retrieval
*Case study from implementing company A
- 80% reduction
Response accuracy
*Based on internal testing
- 95%+
Knowledge utilization improvement
*Average results from implementing companies
- 3x
Multi RAG-MCP
Document processing: Supports various document formats including PDF, DOCX, Markdown.
Hybrid search: Combines vector search and keyword search for high-precision searches.
GraphRAG: Analyzes relationships between documents and generates context-based responses.
Rerank function: AI displays the most accurate answer at the top of search results, saving search time.
Semantic function: Even with vague keyword recall, AI reads context and broadly suggests related information.
AI assistant integration: Access internal knowledge anytime from familiar AI assistants.
Project management: Switch search targets by project unit.
Multi-language support: Supports search and response generation in multiple languages including Japanese, English, and Thai.
API key authentication: Control access with API keys issued per project.
User management: Supports role-based access control (RBAC).
Access permissions: Finely set viewing and editing permissions for each document or folder to achieve secure information sharing.
Usage monitoring: Record and track API usage and operation history.
Pricing Structure
We propose the optimal plan tailored to your situation.
Please feel free to contact us.
Monthly cost
30,000yen~
*Prices shown are excluding tax.
*Contract is annual with 12 months paid upfront.
