RAG Knowledge Base AI Assistant
Build a trusted AI assistant that answers from your documents with citations, filters, and enterprise-ready access control.
RAG, or Retrieval-Augmented Generation, helps AI answer questions based on your actual business content instead of relying only on general model knowledge. This makes the experience more accurate, more useful, and more trustworthy for companies that work with large amounts of information and documentation.
- Internal knowledge assistants and employee support tools
- Policy and SOP search
- Onboarding systems
- Product documentation assistants
- Customer-facing help experiences where accurate document-based answers matter
A RAG assistant can answer employee questions, summarize policies, guide SOP steps, help onboarding, find product specs, and support customer success teams. It also works as a “smart search” layer for internal wikis and document libraries.
We build the chatbot using an LLM layer, a controlled conversation flow, and optional tool integrations. FAQs can be stored in a simple database and managed through an admin panel. For advanced setups, we can connect the bot to your documentation using RAG so answers are more accurate. We also add logging for performance, user feedback, and message quality so the bot keeps improving over time.
Your document sources (PDFs, docs, wiki exports), who should access what, and 20 to 30 sample questions your team actually asks. If you have compliance requirements, we will apply them in permissions and logging.
