Skip to main content
Book Consultation →
PRIVATE RAG  ·  AI Engineering Services

Enterprise Knowledge Search & Private RAG

Your company's documents, policies, and data — instantly searchable by AI. Accurate. Private. No data sent to public models.

Discuss This Project → ← All Services

$5,000 – $15,000 Delivery: 3 – 6 weeks Get a Quote
The Problem

Why This Matters

Your team wastes hours searching through PDFs, wikis, and SharePoint for answers that are already documented. Generic AI gives hallucinated answers. A private RAG system retrieves the exact source, cites it, and never guesses.

Use Cases

What Teams Use This For

  • Internal knowledge base: HR policy, compliance docs, SOPs
  • Legal: contract search, clause retrieval, precedent lookup
  • Technical documentation assistant for engineering teams
  • Customer support: product manuals, troubleshooting guides
  • Financial: earnings reports, regulatory filings, audit trails
Deliverables

What You Receive

  • Document ingestion pipeline (PDF, Word, Excel, HTML, Confluence)
  • Optimised chunking + embedding strategy per document type
  • Vector database setup (pgvector / ChromaDB / Pinecone)
  • Retrieval API with re-ranking and citation sources
  • Chat interface or API endpoint
  • Access control (per-user, per-department document permissions)
Pricing

Project Packages

Fixed-price scopes with clear deliverables. No hourly billing surprises. Source code ownership transferred on all packages.

Package

Foundation RAG

Up to 500 documents · single knowledge base · 3 weeks
$5,000
  • PDF/Word/HTML ingestion
  • pgvector or ChromaDB
  • Citation in responses
  • Simple chat interface
  • 30-day support
Get Started
Package

Enterprise RAG

Unlimited docs · access control · re-ranking · 5 weeks
$10,000
  • Unlimited document ingestion
  • Per-user access control
  • Hybrid search + re-ranking
  • Admin dashboard
  • API endpoint + chat UI
  • 60-day support
Get Started
Package

Private Cloud RAG

Air-gapped deployment · local LLM option · custom
From $15,000
  • On-premise / private VPC deployment
  • Local LLM (Llama/Mistral) option
  • Full data sovereignty
  • Audit logging
  • 90-day priority support
Get Started
Technology

Stack Used

Python 3.11+ Claude API / local LLM pgvector ChromaDB Pinecone LangChain FastAPI PostgreSQL Docker Nginx
Why Me

Proof of Delivery

RAG architecture is the backbone of QChat's knowledge base feature — documents chunk, embed, and retrieve in milliseconds. The same battle-tested pipeline is adapted per client.

Ready to start?

Send a brief description of your project and I'll reply within 24 hours with a scoped proposal — no obligation.

Email Your Requirements →