Delphi | RAG & Knowledge AI

RAG & Knowledge AI

Your enterprise knowledge is trapped in documents, databases, and systems. We build the AI layer that makes it all accessible through natural conversation — with a three-tier architecture that scales from simple document Q&A to complex, multi-source agentic reasoning.

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RAG & Knowledge AI

CHALLENGES

Enterprise Knowledge Is Inaccessible

Policies, procedures, contracts, and institutional knowledge exist in documents across SharePoint, email, and file systems — but nobody can find or use them efficiently.

AI Hallucinations on Enterprise Data

Generic AI models answer confidently but incorrectly when asked about your specific systems, processes, or data — because they have no access to your actual knowledge base.

Structured + Unstructured Data Gap:

Business questions often require combining answers from databases (structured) and documents (unstructured) — most AI systems cannot do this reliably.

Tier 1 — Document RAG

Unstructured document knowledge base with retrieval-augmented generation. Q&A over policies, procedures, contracts, reports, and other document repositories.

Tier 2 — Hybrid RAG

Combined structured and unstructured retrieval — including Text-to-SQL for database queries. Multi-source answers that combine document knowledge with live structured data.

Tier 3 — Agentic RAG

Multi-step reasoning with self-correcting retrieval. The AI agent can plan, retrieve, reason, and iterate — handling complex queries that require connecting multiple knowledge sources.

Knowledge Preparation Services

Chunking strategy design, embedding optimization, metadata enrichment, and evaluation frameworks — the foundation that makes RAG reliable.

Need for Services

Three-Tier Architecture

Most vendors offer Tier 1 only. Our three-tier approach matches the right retrieval architecture to the complexity of your use case.

Knowledge Preparation Expertise

Retrieval quality depends on how knowledge is prepared — chunking strategy, embedding choice, and metadata enrichment. We invest in preparation, not just retrieval.

Built on Azure OpenAI

Built on Azure OpenAI: Our RAG implementations use Azure OpenAI — combining enterprise security, compliance, and data residency with state-of-the-art model capability.

Evaluation Frameworks Built In

Every RAG deployment includes an evaluation framework — precision, recall, and faithfulness measured continuously, not just at launch.

Domain-Specific Tuning

Healthcare, financial, and procurement knowledge bases — we tune retrieval and prompting for your domain, not just your documents.

Ready to Transform Your Business?

Empowering your business with innovative digital solutions to boost growth, engagement, and success in today’s competitive market.

UAE

14th Floor, Suite no.1407, Concord Tower, Dubai Media City, PO Box 451893, Dubai.

KSA

7783 Ibn Katheer St – King Abdulaziz DistrictRiyadh 12233 – 4264, Kingdom of Saudi Arabia.

INDIA

Ground & First Floor, Worldmark 1, Asset Area 11,Aerocity, Hospitality District,Near Indira Gandhi International Airport (NH-8),New Delhi – 110037, India

USA

100 N Howard ST STE W, Spokane, WA, 99201-0508, United States

UK

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