CPI RagChat - RAG Application for Internal Knowledge

RagChat is a corporate Retrieval-Augmented Generation (RAG) application that transforms your existing internal documents into an AI-powered knowledge base accessible to every employee. Built entirely on AWS infrastructure and deployable in approximately 3 weeks, RagChat eliminates knowledge silos, accelerates information retrieval, and delivers reliable AI-generated answers grounded in your company's own data.

• Use existing documents as-is: Manuals, regulations, proposals, and technical papers become instant AI answer sources. Additions and updates are managed in-house without special training.
• Data stays in your AWS environment: Internal data never leaves your account and is never used for AI model retraining. Enterprise-grade security is maintained at all times.
• Multi-AI model support: Switch between Claude (Anthropic), Amazon Nova, and ChatGPT (OpenAI) models by scenario while preserving conversation context across model changes.
• Flat-rate pricing per company: No per-user charges, making it ideal for company-wide deployment across all departments.

RagChat operates in two simple phases:

1. Knowledge Addition: Administrators place documents in a designated location. Supported formats include PDFs and images.
2. Knowledge Utilization: Users ask questions from the RagChat interface. AI immediately provides answers by referencing internal knowledge, suppressing hallucinations and citing source documents for reliability.

No special training is required for end users.

RagChat is built on Amazon Bedrock, AWS's generative AI service platform, leveraging Amazon Bedrock Knowledge Bases as a fully managed RAG service. Key components include:

• AI Models: Claude 3.7 Sonnet, Claude Sonnet 4, Amazon Nova Lite, Amazon Nova Pro, and OpenAI GPT models
• Data Storage: Amazon Aurora
• Authentication: AWS Cognito with integration into existing authentication infrastructure
• Design: Responsive UI for PC and mobile with sidebar navigation, chat history, model selection, and mode toggle (internal data only vs. general AI)

• Knowledge silos: Prevent business disruption when key employees are absent by making their expertise available to everyone through AI.
• Internal information search: Eliminate time wasted searching for documents scattered across the organization.
• New employee onboarding: Provide instant access to institutional knowledge without requiring manual documentation efforts.
• Consistent inquiry handling: Guarantee uniform, high-quality answers to internal and external inquiries.

RagChat is trusted by enterprises including Kajima Corporation (major general contractor), where it improved field productivity by enabling conversational knowledge search with source citations, and Shinto Holdings Co., Ltd. (diversified management across recycling, apparel, real estate, and inbound), where it enhanced cross-departmental knowledge sharing with multilingual support in Japanese, Chinese, and English.

• Week 1: Requirements hearing, contract signing, and proposal
• Weeks 2-3: AWS account setup, environment construction, precision testing, data ingestion, operational verification, and final adjustments
• Post-launch: Ongoing support from CPI

CPI is an AWS Advanced Tier Services Partner with AWS 500 APN Certification Distinction. They hold designations including AWS Solution Provider (SPP), AWS Well-Architected Partner Program member, and AWS Public Sector Partner (PSP). CPI handles environment construction, precision testing, and final adjustments while supporting your team throughout the deployment process.