You will get A RAG knowledge agent that searches your documents and cites every answer
Rising Talent
Rising Talent
Project details
Most "RAG agents" on Upwork are a ChatGPT wrapper with a vector database bolted on. This isn't that.
I build the same stack I run in production at a HIPAA-regulated software company- hybrid retrieval (vector + keyword) so the agent handles both fuzzy questions and "list all X" enumeration, source citations clients can click back to the original document, and security hardening built in from day one (CSRF, CSP, rate limiting, XSS-safe rendering).
You get a real webapp, not a notebook. Login, chat UI, admin tools, deployed to your cloud or mine.
What sets this apart:
• Real production patterns — auth, secrets, cost guardrails handled
• Hybrid retrieval tuned for actual questions, not just demos
• Source-grounded answers with clickable citations
• 13+ years of enterprise infrastructure behind every deploy
• Microsoft Azure AI Engineer Associate + Google Generative AI Leader certified
Tight scope, async-friendly, working v1 in week one. If your project is bigger than the tiers shown, message me; happy to scope a custom engagement.
I build the same stack I run in production at a HIPAA-regulated software company- hybrid retrieval (vector + keyword) so the agent handles both fuzzy questions and "list all X" enumeration, source citations clients can click back to the original document, and security hardening built in from day one (CSRF, CSP, rate limiting, XSS-safe rendering).
You get a real webapp, not a notebook. Login, chat UI, admin tools, deployed to your cloud or mine.
What sets this apart:
• Real production patterns — auth, secrets, cost guardrails handled
• Hybrid retrieval tuned for actual questions, not just demos
• Source-grounded answers with clickable citations
• 13+ years of enterprise infrastructure behind every deploy
• Microsoft Azure AI Engineer Associate + Google Generative AI Leader certified
Tight scope, async-friendly, working v1 in week one. If your project is bigger than the tiers shown, message me; happy to scope a custom engagement.
AI Development Type
Knowledge RepresentationWhat's included
| Service Tiers |
Starter
$800
|
Standard
$1,600
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 14 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | - |
Model Documentation | - | - | |
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Nightly re-indexing automation
+$200
Custom data source connector
+$400
30-day post-lauch support
+$400Frequently asked questions
About Michael
AI Conductor | Automation and Integration Consultant
St. Louis, United States - 12:45 pm local time
assistants, and compliance/audit tooling on Cloud Run, Cloudflare, Azure, and GCP.
With 13+ years in infrastructure and operations, I know what a safe, production-ready system looks like: secrets handling, auth, rate limiting, error handling, and the security details that matter in HIPAA-sensitive contexts; I make sure every tool I deliver actually works against real-world use before it reaches you.
I move fast by pairing deep ops judgment with modern AI development tooling, focused on one thing: delivering a working result, not a science project.
Certified: Microsoft Azure AI Engineer Associate, Google Generative AI Leader, and Anthropic-certified
HIPAA/SOC2-aware — security-first by default, not bolted on at the end.
Build with Claude Code and agent orchestration — I move fast and ship faster.
How I work:
Tight scope, async-friendly, working v1 in week one. I'd rather deliver something usable fast and iterate than spec a perfect plan for a month. I respond quickly during US business hours (Central Time).
Available now
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff call & document access setup
Call to align on scope, target questions, and user setup. I'll receive document access and confirm scope before starting any build work.
Document ingestion and hybrid index build
Parse and chunk your documents, generate embeddings, and build the hybrid vector + keyword index. Includes metadata tagging so source citations stay accurate.