Skip to content
Pillar: build

AI Agents & RAG Systems

Custom AI assistants and retrieval systems trained on your company's data, SOPs, and operational workflows.

Typical Investment₦800,000 – ₦2,500,000Fixed price in writing · No surprise bills
Typical Delivery3 to 6 weeks
ai-agents-rag.arvace.internal
Live Environment
OP
What is our return procedure for damaged pallet shipments in the Lagos hub?
Verified from Hub SOP v4.2 · § 3.1
Log claim in ERP with 3 timestamped photos within 4 hours. Dispatch replacement immediately from buffer bay 4B without waiting for supplier sign-off.
Stack:PythonpgvectorLangChainClaude+1 more
Operational Context

The problem this solves

Your team spends hours searching internal documents, manuals, and spreadsheets to answer operational questions. Critical knowledge lives in silos, leading to slow answers, inconsistent execution, and knowledge loss when key staff leave.

Concrete Outputs

What is included in the build

Every service deliverable is verified against acceptance criteria and handed over with full documentation.

Custom RAG assistant over company documentation and data
Integration with existing channels (Slack, Teams, or Web interface)
Automated document ingestion and indexing pipeline
Prompt engineering, safety guardrails, and evaluation benchmarks
Admin analytics dashboard and user training session
Predictable Execution

How we work together

Transparent weekly milestones with staging preview links at every stage.

1

Knowledge Audit & Ingestion

Review and chunk your operational documents, SOPs, manuals, and databases.

2

Architecture & Guardrails

Configure embeddings, vector database, prompt templates, and security boundaries.

3

Testing & Integration

Run evaluation benchmarks, integrate with your preferred chat channels, and test with your team.

4

Handover & Training

Deploy to production, hand over repository ownership, and train internal staff.

Modern Stack

Tools & technologies

Proven, industry-standard technologies that your team can run and maintain without vendor lock-in.

PythonpgvectorLangChainClaudeNext.js
Real-World ApplicationExample

What a result looks like

Operational Scenario

An operations assistant that answers inventory SOP and return policy questions for 25 customer service reps across 3 fulfillment hubs, cutting average response time from 14 minutes to 8 seconds.

Transparent Investment

Pricing, scope & payment schedule

Starting Investment
₦800,000 – ₦2,500,000

What influences final project cost

  • • Volume and cleanliness of historical source data
  • • Number of external applications and API endpoints connected
  • • Custom authentication, multi-factor, and row-level security needs
  • • SLA support tier and post-launch maintenance windows

Payment Terms & Guarantee

  • • 50% deposit before kickoff, 50% on live acceptance
  • • Fixed price in writing: no hourly billing surprises
  • • 30-day post-launch warranty covering any bugs or defects
  • • Full source code, documentation, and IP transferred to you
Service FAQ

Frequently asked questions

Common questions about scoping, timelines, and delivering AI Agents & RAG Systems.

Explore More

Related build services

Ready to build your AI Agents & RAG Systems?

Schedule a 30-minute discovery call with our team or send us your scope document.