You will get a custom RAG chatbot that answers from your documents with citations
Project details
Turn your documents into a chatbot your team or customers can actually ask questions. You give me your files — PDFs, Word docs, policies, manuals, contracts — and I build a custom RAG chatbot that answers plain-language questions using ONLY your content, and shows where each answer came from.
Why it's built right (not a GPT wrapper):
• Grounded in YOUR docs only — it retrieves the relevant passages first, then answers from them
• It cites its sources — every answer points to the exact file, page, or section
• It refuses to guess — if the answer isn't in your documents, it says so
• You own it — your own API key and hosting, no per-seat lock-in, the repo is yours
How I work: fixed scope, fixed price. I test the bot against your real documents before handoff, then send a Loom walkthrough and setup doc so you can run, update, and re-index it yourself. Tested output, not "it should work".
Good for knowledge bases, handbooks, manuals, SOPs, contract Q&A, and support docs.
I'm a US-based AI engineer building with Claude, OpenAI, and Next.js. New to Upwork, so entry pricing is accessible. Message me your document type and rough page count and I'll tell you which tier fits.
Why it's built right (not a GPT wrapper):
• Grounded in YOUR docs only — it retrieves the relevant passages first, then answers from them
• It cites its sources — every answer points to the exact file, page, or section
• It refuses to guess — if the answer isn't in your documents, it says so
• You own it — your own API key and hosting, no per-seat lock-in, the repo is yours
How I work: fixed scope, fixed price. I test the bot against your real documents before handoff, then send a Loom walkthrough and setup doc so you can run, update, and re-index it yourself. Tested output, not "it should work".
Good for knowledge bases, handbooks, manuals, SOPs, contract Q&A, and support docs.
I'm a US-based AI engineer building with Claude, OpenAI, and Next.js. New to Upwork, so entry pricing is accessible. Message me your document type and rough page count and I'll tell you which tier fits.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$120
|
Standard
$380
|
Advanced
$850
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 12 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
About Tony
AI Agent & MCP Engineer | RAG, LLM Integration, Full-Stack AI Apps
Alpharetta, United States - 11:22 am local time
I'm a US-based, code-first AI engineer (Nexus Digital Group). Real systems I've shipped:
- A 26-agent autonomous marketing department on the Claude Agent SDK (Next.js, compliance hooks) running across 7 coordinated departments
- A conversational pricing assistant wired to a LIVE MCP server, with an agentic workflow and guardrails
- A citation-backed RAG chatbot that grounds every answer in your docs and never fabricates (Vercel AI SDK + Claude)
- A PDF-to-JSON extraction API — stateless, schema-validated, Claude-backed
- A multi-tenant AI SaaS app (Next.js/Supabase/Stripe) and a digital origination platform with 15+ third-party API integrations
What I deliver:
- AI agents & MCP servers — multi-agent orchestration, tool use, guardrails, the Claude Agent SDK
- RAG chatbots — citation-backed, grounded in your docs, built so they don't hallucinate
- Full-stack AI apps — Next.js / TypeScript / React, Supabase, Stripe, plus React Native mobile
- Custom LLM & API integrations — OpenAI/Claude wired into your stack, your data, your auth
- Document & data extraction — PDF/Excel to clean, schema-validated JSON
How I work:
- Fixed price, scoped clearly up front — you know the cost before I start
- Same-week turnaround on most well-defined builds
- Every delivery includes a Loom walkthrough and a setup doc so you can run it yourself
- Tested against your real data before handoff — not a happy-path demo
Stack: Next.js, TypeScript, React, Node, Python, OpenAI/Claude APIs, LangChain, vector DBs, Playwright, Supabase, Stripe, React Native.
No Upwork reviews yet — I'm building my track record, so you get senior-level engineering at $35/hr and someone motivated to over-deliver. Send me what you're trying to build and I'll reply with exactly how I'd build it, a fixed price, and a realistic timeline.
Steps for completing your project
After purchasing the project, send requirements so Tony can start the project.
Delivery time starts when Tony receives requirements from you.
Tony works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm docs & questions
I review your documents and example questions, confirm scope and page count, and flag anything unusual before we start.
Ingest, index & build
I chunk and embed your docs into a vector store and build the chat UI grounded only in your content.