Private. Accurate. Secure. Enterprise-Grade RAG Systems.
AGIX builds RAG & Knowledge AI systems that allow AI models to retrieve, reason over, and answer questions using your internal data — documents, systems, policies, and knowledge bases — without exposing it to public models.
This is how businesses move from AI demos to AI systems they can trust.
Most companies experimenting with AI face the same issues:
AI gives confident but wrong answers
Responses change unpredictably
Sensitive data cannot be shared with public LLMs
Knowledge is scattered across tools and documents
Employees don't trust AI outputs
The result? AI becomes a demo tool — not a business system.
Large Language Models:
They generate responses based on training data, not your knowledge.
RAG (Retrieval-Augmented Generation) is the architecture that allows AI to work with your data.
Retrieve the right internal information
Ground responses in verified knowledge
Generate answers based on facts, not guesses
Keep data private and secure
RAG turns AI from a storyteller into a reliable analyst.
At AGIX, RAG & Knowledge AI is not just vector databases, embeddings, or document upload + chat.
It is a knowledge system designed as enterprise infrastructure, not experiments.
RAG systems fail not because AI is weak — they fail because knowledge is poorly structured, retrieved incorrectly, or not governed.
The Foundation Most Teams Skip
Before touching AI models, AGIX maps what knowledge exists, where it lives, which sources are authoritative, which are outdated, and who owns each knowledge domain.
Outputs:
Where Accuracy Is Won or Lost
We design chunking based on document type, semantic boundaries, question-answer patterns, and hierarchical structure. Each chunk includes source reference, section context, timestamp, and access permissions.
Outputs:
Semantic Search Done Correctly
AGIX optimizes for relevance, precision, recall, and freshness using semantic similarity, hybrid search, metadata constraints, top-k tuning, and confidence thresholds.
Outputs:
Stopping Hallucinations by Design
AI can only answer using retrieved context. If context is insufficient, AI says 'I don't know'. Source citations included. Confidence scoring per answer.
Outputs:
Critical for SMBs & Enterprises
AGIX enforces role-based access control, data isolation, knowledge-level permissions, audit logs for every query, and secure API boundaries.
Outputs:
Why RAG Systems Improve Over Time
We measure retrieval accuracy, answer relevance, user feedback, knowledge gaps, and drift over time. Re-chunking, index refresh, and prompt refinement prevent decay.
Outputs:
Each capability represents a deployable system, not a feature.
AI-Powered, Not Keyword-Based
Employees search across documents, databases, and systems using natural language, receiving contextual, accurate answers — not just links.
Timeline
4–7 weeks
SMB
$8K – $15K
Enterprise pricing
$15K – $35K+
AGIX pricing for RAG systems is scope-based, not per-document or per-token hype.
SMBs / Teams
$8K – $15K
Best for:
Includes:
Growing / Mid-Market
$15K – $35K
Best for:
Includes:
Large Organizations
$35K – $75K+
Best for:
Includes:
Volume of knowledge
Not just number of files, but depth and complexity
Structure quality
Clean vs messy data affects processing
Access control complexity
Role-based permissions add layers
Accuracy requirements
Higher accuracy needs more validation
Compliance & audit needs
Regulated industries require more governance
Internal vs customer-facing
External use requires stricter controls
AGIX prices reliability and trust, not "AI features."
Make a clear, informed decision — without guesswork.
This tool prevents failed implementations.
Do you have structured documents (SOPs, policies, guides)?
Is ownership of knowledge defined?
Are documents updated regularly?
Is access control required?
Is accuracy critical (legal, financial, operational)?
Current Annual Cost
$312,500
6,250 hours lost/year
Estimated Annual Savings
$218,750
4,375 hours saved/year
Estimated Payback Period
2 months
Based on 70% reduction in search time
High effort, poor accuracy
Limited control & trust
Reliable, secure, scalable
RAG is the foundation that transforms AI from a generative tool into a reliable business system.
Get a Custom RAG & Knowledge AI Plan
Clear scope · realistic timeline · accurate cost · no hype
Request Your Knowledge AI AssessmentWe'll recommend automation, conversational AI, or RAG — based on what actually fits your business.
Accurate AI starts with knowledge.
RAG is how businesses make AI trustworthy.