RAG Applications
Give your AI access to your documents, policies, and knowledge base. Precise answers, grounded in YOUR data — not the internet's.
Find the information — across all your documents
Your enterprise knowledge
is inaccessible.
Years of accumulated knowledge locked in documents that nobody finds, reads, or understands in time.
Knowledge trapped in your files
Your internal policies, technical manuals, contracts, and procedures are scattered across PDFs, wikis, and network drives. The information exists, but nobody finds it when they need it.
Hours lost searching
Your employees spend considerable time digging through folders, re-asking colleagues for information, or reinventing answers that already exist somewhere.
AI without context invents answers
A generic AI model doesn't know your policies, products, or processes. Without access to your real documents, it fabricates plausible but false answers — a risk for your business.
AI grounded in
your real documents.
The Rosecape platform transforms your documents into an AI-queryable knowledge base, with sourced answers and built-in access control.
RAG (Retrieval-Augmented Generation) is an approach that grounds AI answers in your real data rather than its generic knowledge. Instead of inventing, the AI first searches through your documents, then generates an answer based on what it found.
The Rosecape platform automates the entire RAG pipeline: from document ingestion to answer generation with citations, through intelligent chunking and semantic search.
- 1 Automatic ingestion — Connect your document sources. The platform ingests and monitors changes continuously.
- 2 Chunking and vectorization — Documents are split into passages, then converted into vector representations for semantic search.
- 3 Contextual enrichment — Each passage is enriched with business context: department, document type, validity dates, business relationships.
- 4 Search and retrieval — When a question is asked, the platform finds the most relevant passages through semantic search and contextual filtering.
- 5 Generation with citations — The AI generates a clear answer, accompanied by exact references to the source documents.
Six concrete applications,
ready to deploy.
RAG adapts to your use cases. Here are the most common applications built on the Rosecape platform.
Policy Q&A
Let every employee ask questions about internal policies, HR, compliance, or security — and get a sourced answer in seconds.
Technical documentation assistant
Your technical teams query product documentation, installation guides, and troubleshooting procedures in natural language.
Contract analysis
Identify key clauses, obligations, and deadlines in your contracts. Ask precise questions and get relevant extracts with references.
Regulatory monitoring and compliance
Query your regulatory corpus to verify process compliance. The AI compares your practices against documented requirements.
Employee self-service portal
A single point of contact for HR, IT, logistics, or operations questions. Employees get their answers without bothering a colleague or manager.
Product knowledge base
Centralize product documentation, technical sheets, and FAQs into a queryable base. Your sales and support teams find the information in one question.
Document access control
AI only accesses documents authorized by your policies. Every answer cites its sources and remains auditable.
What makes RAG possible
on the Rosecape platform.
Each RAG application relies on five platform components, integrated and managed for you.
What this changes
for your business.
Answers with citations
Every generated answer comes with exact references to source documents. Your teams can verify, dig deeper, and trust the results. No more invented answers.
Security at the search level
Access control is enforced at document retrieval time: each user only sees what they are authorized to access. Your source system permissions are respected.
Always up to date
When a source document changes, the knowledge base updates automatically. Your answers always reflect the most recent version of your policies and procedures.
Build your first RAG application.
Ground your AI in your real data. Reliable, sourced, and secure answers — in just a few weeks.