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RAG Applications

Give your AI access to your documents, policies, and knowledge base. Precise answers, grounded in YOUR data — not the internet's.

Augmented search

Find the information — across all your documents

1 Employee question
2 Business context
Identifying context...
Department: Customer service
Subject: Return policy
Channel: Online orders
3 Documents found
PDF
Employee_Manual_2026.pdf
Section 7.3 — Returns
0.96
DOC
Customer_Service_Guide.docx
Online return procedure
0.91
XLS
Warranty_Policy.pdf
General conditions
0.84
4 Relevant passages
Manual §7.3 Online order returns are accepted within a 30-day window following receipt, with proof of purchase required.
CS Guide The customer must obtain a return authorization number (RA) before shipping. The refund is processed within 5 business days after receipt.
Warranty Items on final sale are not refundable. Original shipping costs are not refunded except in case of error.
5 Response
Synthesized answer
Employee_Manual_2026.pdf Customer_Service_Guide.docx Warranty_Policy.pdf
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The problem

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.

The solution

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.
RAG Pipeline
Documents
PDF, Word, wikis, SharePoint, Google Drive
Ingestion
Text extraction, intelligent chunking
Vectorization
Semantic embeddings + business context
Retrieval
Semantic search + access-based filtering
Generation
Sourced answer with exact citations
What you can build

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.

Platform components

What makes RAG possible
on the Rosecape platform.

Each RAG application relies on five platform components, integrated and managed for you.

Document connectors
Automatic ingestion from your sources: SharePoint, Google Drive, S3, file systems.
Vector storage
Managed vector database for high-performance semantic storage and search.
Business context graph
Enrichment of each passage with business relationships, departments, and relevant metadata.
AI gateway
Intelligent routing of requests to language models with cost control and audit.
Granular access control
Each user only retrieves documents they are authorized to access. Security applied at the search level.
Concrete results

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.

Ready to get started?

Build your first RAG application.

Ground your AI in your real data. Reliable, sourced, and secure answers — in just a few weeks.