Enterprise AI Agent & RAG Systems for Internal Knowledge
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About this service
Summary
Deliverables
FAQ
FAQs
Is this a chatbot or a custom internal system?
This is a custom internal AI system built on your data, with strict grounding and source citations. It is designed for enterprise use and decision support, not casual conversation.
Can this be deployed inside our existing infrastructure?
Yes. The system can be delivered as a private web app or as an API-backed service, depending on your technical and security requirements.
Will the AI make up answers if information is missing?
No. The system only answers from retrieved source content. If the information is not present, it clearly states that instead of guessing.
Does this include both document Q&A and multi-agent systems in one project?
No. Each project delivers either a RAG document intelligence system or an autonomous multi-agent system. These are separate architectures and are scoped independently based on the use case.
What's included
Document Ingestion & Knowledge Index
A secure pipeline that ingests internal documents (PDFs, reports, manuals, policies) and converts them into a structured, searchable knowledge base. š Client takeaway: Your internal knowledge is centralized and instantly accessible.
Semantic Retrieval System (RAG)
A vector-based retrieval layer that finds the most relevant document context for each question, ensuring answers are accurate and grounded in source material. š Client takeaway: The system understands meaning, not just keywords.
Source-Cited Q&A Interface
A secure internal web interface where users can ask questions and receive answers with direct citations to the original document sections. š Client takeaway: Every answer is verifiable and audit-ready.
Deployment-Ready System & Documentation
A deployment-ready setup with clear documentation covering architecture, data flow, and future extension options. š Client takeaway: The system is usable, maintainable, and ready to scale.
Example projects
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