Chat with your entire company knowledge base. Get grounded answers with citations — not hallucinations.
Every organization sits on a goldmine of institutional knowledge — scattered across PDFs, SharePoint libraries, OneDrive folders, Confluence wikis, email archives, and internal databases. When employees need answers, they spend hours searching, browsing, and asking colleagues instead of doing their actual work.
Fluxvec's Document Intelligence service deploys a RAG (Retrieval-Augmented Generation) system that ingests your entire document corpus, creates a searchable knowledge index, and provides a conversational chat interface where anyone can ask questions in plain English and get accurate, cited answers in seconds.
Unlike generic AI chatbots that hallucinate or give vague answers, our system grounds every response in your actual documents. Each answer includes citations pointing to the specific document, page, and section — so your team can verify and trust the information.
Security is built in from day one. Documents are processed and stored within your infrastructure. Access controls mirror your existing permissions — if someone can't access a document in SharePoint, they can't get answers from it through the chatbot either. Your data never leaves your environment and is never used to train external models.
Supports PDFs, Word, Excel, PowerPoint, HTML, Markdown, and plain text. Handles scanned documents with OCR.
Documents are embedded into a vector database for semantic search — finds relevant content even when the exact keywords don't match.
Every answer includes clickable citations to the source document, page number, and section. No black-box responses.
Inherits permissions from your existing systems. Users only get answers from documents they're authorized to access.
We fine-tune the retrieval and generation models on your specific domain language, acronyms, and document structures.
Deploy as a web chat, Teams bot, Slack bot, or API endpoint — wherever your team works.
A law firm enabled lawyers to search 100,000+ case files and get cited answers in seconds, reducing research time by 70% on average.
A manufacturing company created a self-service knowledge base from 10 years of technical manuals, cutting support ticket volume by 45%.
A university deployed a student-facing chatbot that answers policy questions from official handbooks, handling 3,000+ queries per week with 95% accuracy.
Have a question? Send us a message and we'll get back to you within 24 hours.