How long does it take to deploy an enterprise RAG application?

A production-ready RAG proof-of-concept typically takes 3 to 5 weeks, while a full enterprise deployment with role-based access control and custom connectors takes 6 to 10 weeks.

How do you eliminate hallucinations in RAG systems?

We enforce strict citation grounding, hybrid semantic/lexical search, metadata filtering, and post-generation guardrail checks that block answers lacking direct document support.

Service Overview

RAG & Enterprise Knowledge Systems

Build secure Retrieval-Augmented Generation platforms that answer complex business questions from your internal documents, databases, and APIs without data leaks or hallucinations.

Discuss Your RAG System

Service Overview & Core Technical Approach

Trustin Technologies designs and deploys production-grade Retrieval-Augmented Generation (RAG) systems tailored for enterprise security, strict access control, and verifiable accuracy. We transform scattered corporate PDFs, Notion docs, SQL databases, and legacy knowledge repositories into an instant, citation-backed intelligence system.

Key Value & Business Benefits

Zero training data leaks with private VPC and tenant-level encryption

Grounded answers backed by verifiable source citations

Hybrid vector + keyword search with domain-tuned reranking

Role-based access control (RBAC) mapped directly to your IAM

Drastic reduction in manual document search and research time

Key Deliverables

What We Deliver

Custom ingestion and document parsing pipeline
Vector database deployment (Qdrant, PGVector, or Pinecone)
Hybrid retrieval and reranking engine
Grounded answer generation layer with strict guardrails
Enterprise admin dashboard and latency/cost monitoring

Technical Capabilities

Tech Stack & Frameworks

Python / LangChain / LlamaIndexQdrant / PGVector / PineconeOpenAI / Claude 3.5 / Llama 3 / MistralNext.js & React UIFastAPI & Docker Containerization

Security & Data Privacy Safeguards

All software deployments adhere to zero-data-retention standards, strict role-based access control (RBAC), and private cloud VPC hosting to guarantee enterprise compliance.

Raleigh & North Carolina Context

Our technical leadership team is located at 4030 Wake Forest Road, Suite 349, Raleigh, NC. We provide in-person discovery and dedicated US-led account management for clients across North Carolina.

Relevant Case Studies & Work

PlanEvently LLCSaaS & Mobile App

Evently: Scalable Event Management & Mobile Ticketing Suite

Problem: Event organizers needed a frictionless web and mobile ticketing platform capable of handling flash-sale traffic spikes.

Solution: Developed a Next.js web application and companion mobile scanning app with real-time QR validation and automated payouts.

Outcome: 99.99% Ticket Sale Spike Uptime

Next.jsReact NativeNode.jsPostgreSQLStripe API

Read Full Case Study

Triple Y RealtyReal Estate & Brokerage Software

Triple Y Realty: Brokerage Management Suite & Multi-Agent Portal

Problem: Growing real estate brokerage needed a unified platform for managing multi-agent teams, tracking active property listings, and monitoring performance metrics from a central command dashboard.

Solution: Engineered a comprehensive real estate brokerage suite featuring agent onboarding and management workflows, dynamic property listing publishing, and an interactive executive dashboard.

Outcome: Unified Agent, Listing & Performance Dashboard

Next.jsTypeScriptTailwind CSSPostgreSQLPrismaAWS S3

Read Full Case Study

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Direct Answers

RAG & Enterprise Knowledge Systems FAQ

Specific technical and operational questions.

Yes. We build RAG architectures using self-hosted vector stores and zero-data-retention API endpoints or fully self-hosted open models (e.g. Llama 3), ensuring your internal data never trains public LLMs.

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Have an AI use case but not a clear implementation plan?

We will help you assess the opportunity, risks, data requirements, architecture, timeline, and realistic cost for your business.

Book a Free AI Strategy Call (407) 743-3840

30-Minute Architecture Review

Direct Lead Engineer Call

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