Overview
Turn Your Company Documents and Knowledge Into a Secure, Searchable AI Knowledge Base
Alfares AI Knowledge & RAG Platform enables organizations to build production-ready Retrieval-Augmented Generation (RAG) solutions that connect AI models with private business knowledge. The platform retrieves relevant information from company documents and knowledge sources and provides it to AI applications and agents as grounded context.
Instead of relying only on a general-purpose AI model, your organization can use its own documentation, procedures, manuals, policies, technical documentation, and business knowledge to power AI-driven experiences.
Key Benefits
- Private company knowledge - Connect internal documentation and knowledge sources to AI applications so responses reflect your organization's actual information.
- Grounded AI responses - Retrieve relevant source information before generating an answer, reducing hallucinations and improving accuracy.
- Source references - Trace answers back to the underlying knowledge, giving users confidence in AI-generated responses.
- AI-agent ready - Expose company knowledge to AI agents and applications through APIs and MCP-compatible integrations.
- Model independent - Work with different AI models and providers without being locked into a single vendor.
- Scalable knowledge infrastructure - Centralize RAG capabilities instead of implementing separate knowledge systems for every AI application.
- Integration ready - Connect existing business systems, APIs, applications, and document repositories into a unified knowledge layer.
How It Works
Your company knowledge -- documents, manuals, policies, technical documentation, and business data -- flows into the Alfares AI Knowledge platform. The platform handles document processing, indexing, retrieval, context management, and source references. AI applications including chat interfaces, agents, and business apps then access this knowledge to deliver grounded, accurate responses.
Typical Use Cases
Enterprise Knowledge Assistant - Allow employees to ask questions about internal documentation, procedures, policies, and technical materials using natural language.
AI Customer Support - Provide AI assistants with access to approved product documentation, manuals, FAQs, and support knowledge to resolve customer inquiries faster.
Technical Documentation Assistant - Help developers and engineers find relevant information across large technical documentation repositories.
AI Agents - Provide AI agents with access to trusted company knowledge through APIs and agent-compatible interfaces for autonomous task completion.
Business Process Automation - Combine RAG with AI agents and business APIs to build automated workflows based on company-specific knowledge.
Designed for Production
Alfares AI Knowledge & RAG Platform is designed as an integration layer rather than a standalone chatbot. It can be incorporated into existing AI architectures and connected to business applications, APIs, authentication systems, monitoring infrastructure, and AI agents. The architecture supports organizations that want to maintain control over their knowledge layer while using modern AI models.
Optional Implementation Services
Alfares can provide implementation services to help organizations identify suitable RAG use cases, prepare and structure knowledge sources, configure document ingestion, design retrieval architecture, integrate AI models, connect business applications and APIs, integrate AI agents, deploy the solution, evaluate retrieval and answer quality, and establish monitoring and operational procedures.
Who Is It For?
- Businesses with significant internal documentation
- Organizations adopting enterprise AI
- Software and engineering teams
- Customer-support organizations
- Companies building AI agents
- Organizations that need AI access to private business knowledge
Why Alfares
Alfares develops AI applications and infrastructure as part of an integrated technology ecosystem. The approach combines AI models, RAG, AI agents, APIs, automation, DevOps, monitoring, and business applications into production-oriented solutions. The platform is designed to be integrated into your existing technology environment rather than requiring your organization to replace its current systems.
Getting Started
Start with a focused knowledge-base use case and expand the solution as additional business knowledge and AI applications are introduced. Alfares can provide an initial architecture assessment, implementation, integration, and production deployment to accelerate your time to value.
Highlights
- Grounded AI Responses with Source References: Alfares AI Knowledge retrieves relevant information from your company documents, manuals, policies, and technical documentation before generating an answer. Every response can be traced back to its underlying knowledge source, giving your team confidence in AI-generated outputs. Instead of relying solely on general-purpose AI models, your organization uses its own private business knowledge as the foundation for AI applications.
- AI-Agent Ready and Model Independent: Expose your company knowledge to AI agents and applications through APIs and MCP-compatible integrations. The platform is designed to work with different AI models and providers, so you are not locked into a single vendor. Centralize your RAG capabilities as a shared knowledge infrastructure rather than implementing separate knowledge systems for every AI application across your organization.
- Production Architecture with Enterprise Integration: Designed as an integration layer rather than a standalone chatbot, the platform connects to existing business applications, APIs, authentication systems, monitoring infrastructure, and AI agents. Suitable for enterprise knowledge assistants, AI customer support, technical documentation search, business process automation, and custom AI workflows.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Vendor refund policy
This product is provided free of charge. No refunds are applicable.
For questions regarding the product, access, account, or subscription, please contact:
Alfares s.r.o. Email: support@alfares.cz Website: https://alfares.cz/
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Alfares provides support for the AI Knowledge and RAG Platform to help customers with setup, configuration, integration, and ongoing operations. For questions or issues, please contact Alfares directly through AWS Marketplace.
Customer support level
Alfares provides technical support to help customers deploy, configure, integrate, and operate the Alfares AI Knowledge & RAG Platform.
Support includes:
- Product installation and configuration assistance
- Troubleshooting of platform functionality and integrations
- Assistance with document ingestion and knowledge-base configuration
- API and integration support
- RAG retrieval and configuration guidance
- AI model integration support
- Deployment and operational guidance
- Bug investigation and resolution
Implementation Services
Alfares can provide optional implementation services to help organizations get started and scale their RAG solutions. These services include:
- Identifying suitable RAG use cases for your organization
- Preparing and structuring knowledge sources
- Configuring document ingestion and retrieval architecture
- Integrating AI models and connecting business applications and APIs
- Integrating AI agents
- Deploying and configuring the solution in your environment
- Evaluating retrieval and answer quality
- Establishing monitoring and operational procedures
Getting Started
Start with a focused knowledge-base use case and expand the solution as additional business knowledge and AI applications are introduced. Alfares can provide an initial architecture assessment, implementation support, integration guidance, and production deployment assistance.
For refund requests or billing inquiries, please reach out through AWS Marketplace support channels.
Contacts email: contact@alfares.cz phone: +420 774 287 541
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.