Upwork home
Sign up
Project Catalog
DesignDesign
Video & AudioVideo & Audio
Development & ITDevelopment & IT
MarketingMarketing
Writing & TranslationWriting & Translation
MoreMore

You will get a Document Chatbot (RAG) with Sources & Citations

Ahmed H.Status: Offline
Ahmed H.
Preview imagePreview image

Let a pro handle the details

Buy Generative AI services from Ahmed, priced and ready to go.
Ahmed H.Status: Offline
Ahmed H.
Preview imagePreview image

Let a pro handle the details

Buy Generative AI services from Ahmed, priced and ready to go.

Project details

You will get a production-ready Document Chatbot (RAG) that answers questions from your PDFs/Docs using a vector database (Chroma) and an LLM. Unlike basic chatbots, this solution retrieves the most relevant content from your files first, then generates an answer—so responses stay grounded in your documents. I deliver a clean Streamlit app, reproducible setup (requirements + .env.example), and clear handover docs. Ideal for internal knowledge bases, SOPs, policies, manuals, and customer support content.
AI Algorithms
Autoencoder, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Tools
GitHub Copilot, Hugging Face, PyTorch, Streamlit, Word2vec
AI Models
BERT, ChatGPT, GPT-4
What's included
Service Tiers Starter
$199
Standard
$399
Advanced
$599
Delivery Time 3 days 5 days 7 days
Number of Revisions
234
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
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$40 - $100
Additional Revision
+$40
Extra Documents (50 pages) (+ 1 Day)
+$75
Cloud Deployment (+ 2 Days)
+$150
Branded UI + Styling (+ 1 Day)
+$100

Frequently asked questions

Ahmed H.Status: Offline

About Ahmed

Ahmed H.Status: Offline
Generative AI Engineer | RAG Chatbots | LangGraph Agents | Vector DB
Bani Suwayf, Egypt - 8:34 am local time
I build AI assistants that help businesses answer questions from their documents and internal data — reliably, with clear retrieval and clean deployment.

What I deliver

Document Chatbots (RAG): Upload PDFs/Docs → chat with your knowledge base (with sources/citations)

Database-Connected Support Agents: AI that can safely query invoices/orders/customers (SQL tools)

LangGraph multi-agent workflows: supervisor + specialized agents + tool calling + memory

Streamlit demos + deploy-ready code: reproducible setup, documentation, and handover

Tech stack
Python, LangGraph, LangChain, Gemini (Google), Chroma/Vector DB, SQL/SQLite, Streamlit

How I work

Understand your data source (docs/DB/website) and top questions

Build a working demo fast (so you can test it early)

Deliver clean, documented code + deployment instructions

If you share your documents or database schema and the top questions the assistant must answer, I’ll propose the simplest architecture and start immediately.

Steps for completing your project

After purchasing the project, send requirements so Ahmed can start the project.

Delivery time starts when Ahmed receives requirements from you.

Ahmed works on your project following the steps below.

Revisions may occur after the delivery date.

Scope confirmation

Review your documents and top questions, confirm scope, and agree on the response style and whether citations will be shown.

Document processing & indexing

Clean documents, split into chunks, generate embeddings, and build a Chroma vector index with file/page metadata.

Review the work, release payment, and leave feedback to Ahmed.