You will get RAG System Customer Care Chatbot
Project details
I’ll build a smart AI chatbot powered by Retrieval-Augmented Generation (RAG) using your own documents (PDF, CSV, or TXT). Whether you need an internal assistant, a support bot, or a custom knowledge helper, I’ll create a chatbot that can answer questions from your content. Delivered with a clean interface (Streamlit or Hugging Face), and optionally backed by vector storage for better performance.
Purpose
BusinessIndustry
Ecommerce, Education, Engineering, Manufacturing & Storage, Marketing & Advertising, Medical & Pharmaceutical, Retail & Wholesale, Telecommunications, Writing & PublishingLanguage
EnglishWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 9 days |
Number of Hours of Work | 10 | 20 | 40 |
Scriptwriting | |||
Summary Report | - | ||
Social Media Replies | - | - | - |
Email Support | |||
Live Chat Support | - | - |
Optional add-ons
You can add these on the next page.
Additional Hour of Work
+$5
Deploy on Hugging Face
(+ 3 Days)
+$80
Add document upload UI
(+ 3 Days)
+$50About Safia
Data Solutions | ML & NLP, Dashboards, Annotation & Transcription.
Cairo, Egypt - 9:22 am local time
🔹 NLP & Chatbots – CV-job matchers, RAG chatbots, text classification
🔹 Dashboards & ETL – End-to-end reporting pipelines (SQL, APIs, Power BI, Streamlit)
🔹 Annotation & Labeling Tools – Custom-built apps for text, image, and audio labeling
🔹 Audio Transcription – Whisper-based tools for English, Arabic, and Korean
I work with Python, Hugging Face, Streamlit, Power BI, Node.js, and more — and I care deeply about usability, performance, and delivery.
Let’s build something that works and delivers value.
📩 Feel free to invite me to your project!
Steps for completing your project
After purchasing the project, send requirements so Safia can start the project.
Delivery time starts when Safia receives requirements from you.
Safia works on your project following the steps below.
Revisions may occur after the delivery date.
Preprocess the Data Documents
Store processed data into Data storage