AI Strategy & Training
RAG & Knowledge Assistants
Turn Your Business Knowledge Into an AI Assistant Your Team Can Trust
Trusted by Industry Leaders
What Is a RAG Knowledge Assistant?
RAG stands for Retrieval-Augmented Generation.
In simple terms, it allows an AI assistant to search approved company content before generating an answer.
Instead of relying only on the model’s general knowledge, a RAG assistant retrieves relevant information from your documents, databases, knowledge bases, portals, or systems, then uses that information to create a more accurate and business-specific response.
20+
AI use cases scored per engagement
90
Day execution roadmap delivered
2–3
Week assessment to delivery
35+
Clients served since 2007
What We Help You Build
Stickboy helps businesses design, build, and implement secure RAG assistants that connect AI to approved company knowledge.
Give your team a central AI assistant for company knowledge.
This can help employees search:
- Policies Procedures
- Training documents
- Project files
- SOPs
- Internal guides
- Meeting notes
- Product information
- Technical documentation
- HR or onboarding materials
- Client-specific documentation
A RAG assistant can retrieve approved answers from FAQs, product docs, support history, help articles, policies, and customer-specific information.
This can support:
- Ticket response drafting
- FAQ automation
- Issue troubleshooting
- Policy lookup
- Product guidance
- Customer onboarding
- Escalation r
- ecommendations
- Support knowledge search
Sales teams often need to pull information from past proposals, service descriptions, case studies, pricing notes, technical capabilities, and customer records.
A RAG assistant can help with:
- Proposal drafts
- RFP responses
- Capability summaries
- Client-specific context
- Past project references
- Service descriptions
- Follow-up email drafts
- Competitive positioning
- Common objection responses
Operations and project teams need quick access to status updates, requirements, documents, timelines, risks, decisions, and process details.
A RAG assistant can help users ask questions across:
- Project documentation
- Task updates
- Client notes
- Operational procedures
- Requirements documents
- Change requests
- Delivery timelines
- Issue logs
- Reports and dashboards
What You Unlock
Why Our AI Strategy Stands Out
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Through Generative-Driven Development™, we equip your team to integrate AI into daily operations.
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Get a step-by-step roadmap for implementation, complete with timelines, milestones, and resource needs.
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