RAG & Retrieval-Augmented Generation

RAG-Powered Knowledge Systems for Businesses

Build private, retrieval-based AI assistants over your documents, SOPs, and support data — with citations, security, and control. No data sent to third parties. No hallucinated answers.

Private & secure deployment
Source-attributed answers
Ships in days, not months
14+
Years Experience
Building production AI systems
50+
Projects Delivered
Across various industries
Days
To First Prototype
Discovery sprint to working demo
Private
& Secure
Your data stays in your environment

What We Build

Six types of RAG-powered knowledge systems, each designed for a specific business problem

Internal Knowledge Copilot

Build a private retrieval assistant over your company docs, SOPs, runbooks, and policies — with citations and access control.

  • Document ingestion pipeline
  • Semantic retrieval with citations
  • Role-based access control

AI Support Assistant

Turn your existing support docs, FAQs, and ticket history into an intelligent assistant that deflects common questions instantly.

  • Knowledge ingestion & indexing
  • Retrieval-backed answers
  • Fallback & escalation logic

Enterprise Document Search

Replace keyword search with semantic search across large document collections — contracts, reports, research, technical specs.

  • Semantic search & ranking
  • Multi-format document support
  • Filters & faceted navigation

Sales & Proposal Assistant

Help sales and bid teams instantly retrieve case studies, proposal templates, pricing, and product specs from your own data.

  • Proposal & case study retrieval
  • Product knowledge base
  • CRM-ready integration

Private Document Q&A

Secure, access-controlled Q&A over sensitive documents — contracts, compliance docs, legal briefs — without data leaving your environment.

  • On-premise or private cloud
  • End-to-end encryption
  • Audit logging

Secure RAG with Citations

Every answer is attributed to its source with page-level citations — auditable, trustworthy, and safe for regulated industries.

  • Source-attributed answers
  • Confidence scoring
  • Hallucination mitigation

Where RAG Systems Deliver ROI

The strongest use cases share one trait: a large, growing body of knowledge that people need to query in natural language

Customer Support

Reduce ticket volume with an assistant that answers common questions from your docs, help articles, and product knowledge base.

Internal Operations

Help teams instantly search across policies, runbooks, process documentation, and internal wikis without hunting through Confluence or Drive.

Sales Enablement

Fast retrieval of case studies, competitive battlecards, proposal templates, and product specs during active deals.

Compliance & Legal

Secure Q&A over contracts, regulatory guidance, and legal policies — with full attribution and audit trail.

HR & Onboarding

Give new hires instant answers from the employee handbook, benefits docs, and onboarding materials without bothering HR.

Product Documentation

Help users self-serve from product docs, API references, and release notes instead of opening support tickets.

How We Deliver

A focused, low-risk process designed to get you from problem to working system fast

1

Discovery & Scoping

Map use cases, identify data sources, define privacy and security requirements, and set success metrics

2

Data Preparation

Document ingestion, chunking strategy, embedding pipeline, and vector index setup

3

RAG Architecture

Retrieval system design, LLM selection, prompt engineering, and context management

4

Build & Deploy

UI integration, accuracy testing, staged deployment, and monitoring setup

Enterprise & SaaS
Financial Services
Legal & Compliance
Healthcare & Education
Technology Stack

RAG & AI Technology Stack

We select models and infrastructure based on your privacy, cost, and performance requirements — not on defaults

AI & Retrieval

LangChain / LlamaIndex
OpenAI / Claude / Mistral
Python FastAPI backend
Embeddings & reranking

Data & Storage

Pinecone / Weaviate / Chroma
PostgreSQL (metadata)
Redis (caching)
S3 / GCS (document storage)

Infrastructure

Docker & Kubernetes
AWS / GCP
GitHub Actions
Nginx

How to Get Started

We recommend starting with a Discovery Sprint — low risk, clear output, and a foundation for everything that follows

Recommended Start

RAG Discovery Sprint

Map your use case, assess data sources, and get an architecture and implementation roadmap

  • Use-case mapping & data review
  • Architecture recommendation
  • Privacy & security assessment
  • Implementation roadmap
Start Discovery

Knowledge Copilot MVP

Full build of a retrieval-based assistant with UI and source citations

  • Document ingestion pipeline
  • Retrieval + LLM integration
  • Web interface with access control
Build MVP

Ongoing RAG Expansion

Continued development and iteration on your AI knowledge system

  • Additional data sources
  • Quality & accuracy improvements
  • Analytics & monitoring
Discuss Scope

Success Stories & Client Projects

Products and platforms we've built and shipped for clients worldwide

Refactored

Refactored

Interactive Python learning management system with tutorials, exercises, and assessments

PRO Music Tutor

PRO Music Tutor

Premium online music learning platform connecting students with world-class instructors

Bough Digital

Bough Digital

UK-based digital marketing agency platform with campaign management and analytics

CREDITABLE

CREDITABLE

Employee financial wellness platform for savings, loans, and workplace financial services

Ready to Build Your Knowledge System?

Start with a free discovery call. We'll assess your use case, data sources, and requirements — and propose a concrete first step.

Free consultation
Private & secure deployment
Response within 24 hours