You will get I will build a RAG pipeline that answers questions from your documents
Rising Talent

Rising Talent

Project details
I build RAG pipelines that let AI answer questions accurately from your own documents, PDFs, or database — not generic responses, but answers grounded in your actual data. Built using Python, FastAPI, and Claude or OpenAI API. I have implemented RAG in production for healthcare and education applications using real WHO, DHS, and curriculum datasets. Every delivery includes the full pipeline, a deployed demo link, and documented source code on GitHub. Six AI apps shipped in the past 12 months — all live, all open source.
AI Development Type
Knowledge Representation, Software MaintenanceAI Tools
PyTorch, SonnetAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$90
|
Standard
$200
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 8 days |
Number of Revisions | 1 | 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.
Deployment setup
(+ 1 Day)
+$50
Video walkthrough
(+ 1 Day)
+$30
Priority delivery
+$40About Ekpenyong
AI & Machine Learning | Gen AI Applications, AI Data Analytics
Calabar, Nigeria - 6:02 pm local time
Steps for completing your project
After purchasing the project, send requirements so Ekpenyong can start the project.
Delivery time starts when Ekpenyong receives requirements from you.
Ekpenyong works on your project following the steps below.
Revisions may occur after the delivery date.
Share documents, data sources, and sample questions
I build RAG pipelines that let AI answer questions from your documents and data accurately. Python, FastAPI, Claude or OpenAI API. Live deployed demo and full source code on GitHub included.