You will get a production RAG knowledge base on your internal docs
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Top Rated
Project details
Eliminate AI hallucinations and empower your team with answers grounded strictly in your proprietary data.
I engineer production-grade Retrieval-Augmented Generation (RAG) pipelines that deliver highly accurate answers paired with verifiable source citations.
I handle the entire lifecycle: high-fidelity document ingestion, intelligent chunking, optimized embedding generation, vector storage, and semantic retrieval.
My technical approach is built for accuracy, utilizing advanced hybrid search (combining semantic and keyword mechanisms) alongside neural reranking to ensure the most relevant context is surfaced.
I implement a flexible stack, utilizing Claude or OpenAI for the reasoning layer, and Pinecone, Weaviate, Qdrant, or Supabase (pgvector) for retrieval. Every system I deliver includes an automated re-indexing pipeline so your team can seamlessly update documents, a dedicated evaluation suite to rigorously track accuracy, and a clean API or custom chat UI.
Ideal for internal knowledge bases, customer support deflection, legal research, and technical documentation.
Free 20-minute scoping call available.
I engineer production-grade Retrieval-Augmented Generation (RAG) pipelines that deliver highly accurate answers paired with verifiable source citations.
I handle the entire lifecycle: high-fidelity document ingestion, intelligent chunking, optimized embedding generation, vector storage, and semantic retrieval.
My technical approach is built for accuracy, utilizing advanced hybrid search (combining semantic and keyword mechanisms) alongside neural reranking to ensure the most relevant context is surfaced.
I implement a flexible stack, utilizing Claude or OpenAI for the reasoning layer, and Pinecone, Weaviate, Qdrant, or Supabase (pgvector) for retrieval. Every system I deliver includes an automated re-indexing pipeline so your team can seamlessly update documents, a dedicated evaluation suite to rigorously track accuracy, and a clean API or custom chat UI.
Ideal for internal knowledge bases, customer support deflection, legal research, and technical documentation.
Free 20-minute scoping call available.
AI Development Type
Deep Learning, Knowledge Representation, Software MaintenanceAI Tools
Azure Machine Learning, Chainer, Deeplearning4j, MLflow, Open Neural Network Exchange, OpenCV, PyBrain, PyTorch, RapidMiner, SonnetAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$750
|
Advanced
$2,750
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 2 | 5 | 10 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | |||
Model Documentation | - | ||
Ontology | - | - | |
Source Code | - | ||
Taxonomy | - | - |
Frequently asked questions
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LR
Lion R.
Apr 1, 2026
AI Automation with n8n and Claude Code for Web Dev
Working with Victory was a great experience. Everything went smoothly from start to finish. Communication was clear, the work was delivered on time, and the quality exceeded expectations. I would definitely recommend them and would be happy to work with them again.
JA
Jorge A.
Oct 31, 2025
Create a Complete Guide for Full WhatsApp Business API (Cloud API) Automation
LR
Lion R.
Oct 23, 2025
Automation API Integration with n8n and APP
it was a pleasure working with you
LR
Lion R.
Sep 30, 2025
Project Writve
Always great to work together
LR
Lion R.
Sep 30, 2025
Web App Development
Great work and results. This won't be our last joint project. Thank you.
About Victory
AI Automation Expert | n8n, Make, GoHighLevel | Voice Agents, chatbot
100%
Job Success
Akure, Nigeria - 12:13 am local time
You have probably already tried to automate your business. Maybe you bought a Zapier plan that half-works. Maybe you hired someone who built something you can't maintain, can't explain, and are scared to touch.
Maybe you watched enough YouTube to know what n8n and GoHighLevel are, but not enough to make them actually talk to each other. And now you're here, on Upwork, hoping this time is different.
I'm Victory. Let me make it different.
𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃
- AI chatbots (website, WhatsApp, GoHighLevel Conversation AI, Tidio) that capture, qualify, and book leads 24/7
- Custom AI apps and internal tools (Claude / OpenAI APIs, RAG), from working prototype to production
- AI agents that qualify leads, answer email, and run research on autopilot
- AI voice agents (Vapi, Retell, Synthflow) that answer calls and book appointments around the clock
n8n / Make com workflows connecting your CRM, Google Sheets, Slack, WhatsApp and 400+ apps
- GoHighLevel: pipelines, automations, and reporting dashboards (GHL → Sheets/Looker Studio)
WhatsApp Business API (Meta Cloud API) automation, end to end
𝐌𝐘 𝐂𝐎𝐑𝐄 𝐒𝐓𝐀𝐂𝐊:
• Automation: n8n · Make com · Zapier · GoHighLevel · HighLevel · Power Automate · Pipedream
• AI: Claude API · OpenAI API · GPT-4o · GPT-5 · OpenClaw · LangChain · LangGraph · CrewAI · AutoGen · Custom GPT · OpenAI Assistants · Anthropic
• Voice: Vapi · Retell · Bland AI · ElevenLabs · Voiceflow · Twilio
• RAG: Pinecone · Weaviate · Qdrant · Supabase pgvector · Retrieval Augmented Generation
• App Dev: Next.js · React · TypeScript · Node.js · Python · Supabase · Stripe · Vercel · Vercel AI SDK ·
Flutter · React Native
• CRMs: HubSpot · Salesforce · GoHighLevel · Pipedrive · Airtable · Notion · ClickUp · Monday
𝐑𝐄𝐂𝐄𝐍𝐓 𝐂𝐋𝐈𝐄𝐍𝐓 𝐑𝐄𝐒𝐔𝐋𝐓𝐒
- CPL alert system (n8n + Claude + Slack/Gmail) for a marketing agency, overspend flagged in [X minutes instead of days]
- GoHighLevel → Google Sheets reporting pipeline for a law-firm marketing team, [saved ~X hrs/week of manual exports]
- AI research agent (n8n + Claude + web scraping) delivering [daily competitor briefs that used to take X hours each]
- Full WhatsApp Cloud API automation build, 5.0★ "quality exceeded expectations"
𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐒𝐓𝐀𝐘 (56% of my client relationships run 90+ days)
1. You get documentation + a Loom handover video with every build, you will never be scared to touch your own system.
2. Built to be maintained: named nodes, error handling, retries, logging. No black boxes.
3. Async-friendly communication with daily progress updates. I'm on Zoom whenever you need me.
You've probably already tried to automate this. Maybe a Zapier plan that half-works, or a freelancer who built something nobody can explain. That's the exact mess I get hired to clean up, and why my clients' automations still run months after handover.
Next step: message me with what you're trying to automate, or book a consultation. I reply within an hour with an honest take and a sketch of the build.
Steps for completing your project
After purchasing the project, send requirements so Victory can start the project.
Delivery time starts when Victory receives requirements from you.
Victory works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends docs + access
I complete the RAG build following the sub-steps below
1.1 Document ingestion + intelligent chunking 2.2 Embedding pipeline + vector store setup 3.3 Retrieval + reranking + citation logic 4.4 Eval suite with 30+ test queries 5.5 Frontend (API, chat, or widget) + handover