RAG Solutions

AI ANSWERS GROUNDED IN YOUR KNOWLEDGE BASE

Petronella builds RAG systems grounding AI in your documents. Accurate, sourced answers from your knowledge base without hallucination.

CMMC Registered Practitioner Org | BBB A+ Since 2003 | 23+ Years Experience
What We Deliver

Our Capabilities

RAG Capabilities

  • Vector search across documents and knowledge bases
  • Source citations for every AI response
  • Multi-format ingestion: PDFs, docs, databases
  • Continuous updates as documents change

Security & Accuracy

  • Private deployment with no external exposure
  • Access controls respecting document permissions
  • Hallucination reduction through retrieval grounding
  • Audit trails showing sources for each response
Solutions

Key Services

Knowledge Search

AI searches your library for accurate sourced answers.

Internal Assistant

Employees find answers in policies and docs instantly.

Customer Support RAG

Chatbots with cited product documentation.

Research Assistant

Search and synthesize across large collections.

The Transformation

What Changes

Before

Information Buried

Hours searching vast document collections.

AI Hallucination

Generic AI makes up answers, creating risk.

Knowledge Silos

Critical info locked in experts' heads.

After

Instant Answers

RAG finds information in seconds.

Sourced Responses

Every answer cites specific documents.

Shared Knowledge

Institutional knowledge accessible to everyone.

Process

How It Works

01

Assess: Inventory knowledge sources and use cases

02

Ingest: Process and index into vector database

03

Build: Develop RAG pipeline

04

Test: Validate accuracy against known Q&A

05

Deploy: Launch with access controls

06

Maintain: Keep knowledge base updated

Who This Is For

Industries We Serve

Enterprise Knowledge Customer Support Legal Healthcare Technical Docs Training
FAQ

Frequently Asked Questions

What is RAG?

Combines document search with AI generation. Retrieves first, generates grounded answers.

Prevent hallucination?

Grounding in retrieved documents ensures factual responses.

Document formats?

PDFs, Word, HTML, markdown, spreadsheets, databases, APIs.

Respect permissions?

Yes. Access controls ensure users only get authorized answers.

vs enterprise search?

RAG synthesizes and generates answers with citations, not just document lists.

Get Started

Ground AI in Your Knowledge

Schedule a free assessment to see how RAG delivers accurate answers.