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

You will get a RAG-based AI document assistant with source-grounded answers

Narek M.Status: Offline
Narek M. Narek M.
Preview imagePreview imagePreview imagePreview image

Let a pro handle the details

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

Let a pro handle the details

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

Project details

You will get a practical RAG-based AI document assistant for your documents, FAQs, policies, manuals, or internal knowledge base. The assistant answers questions based on the provided content and can include source snippets or citations, depending on the selected package, so answers are easier to verify.

This project is suitable for validating a document-based AI workflow before investing in a larger production system. Depending on the package, I can build a focused RAG prototype, a document assistant, or a more structured RAG application with backend/API setup, source-grounded answers, source code, setup notes, and handoff guidance.

The final result will be tailored to your documents, workflow, and project scope.
AI Algorithms
Large Language Model
AI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Models
ChatGPT, GPT-4
What's included
Service Tiers Starter
$199
Standard
$449
Advanced
$899
Delivery Time 3 days 7 days 10 days
Number of Revisions
123
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.
Additional Revision
+$60
Additional document source (+ 1 Day)
+$80
Deployment support (+ 2 Days)
+$120

Frequently asked questions

Narek M.Status: Offline

About Narek

Narek M.Status: Offline
AI/LLM Engineer | RAG Systems, Python & FastAPI
Leipzig, Germany - 1:13 am local time
I build reliable AI/LLM applications, RAG systems, and backend workflows for document-based and knowledge-based use cases.

My focus is not just connecting an API to a chatbot interface, but building practical LLM systems with document ingestion, chunking, embeddings, retrieval, source-grounded answers, evaluation workflows, logging, cost tracking, fallback handling, and observability.

I can help you with:
• RAG systems for PDFs, FAQs, websites, and internal knowledge bases
• Document-based AI assistants with source-grounded answers
• OpenAI-compatible API integrations
• FastAPI backends for AI/LLM applications
• Document ingestion, chunking, embeddings, vector search, and retrieval workflows
• Evaluation workflows, logging, cost tracking, and reliability improvements
• Python automation for document, CSV, Excel, and PDF workflows
• Improving existing AI or automation projects with cleaner architecture and testing

Current project:
• Building llm-reliability-platform, a production-oriented LLMOps/RAG platform for document-based AI assistants with source-grounded answers.

Relevant experience:
• Software development working student experience at IQVIA in the German healthcare software environment
• Best Semantic Web Poster Award 2026 for the CCC – Cost Calculation Chatbot project
• Experience with Python, FastAPI, PostgreSQL, Docker, LangChain, RAG workflows, GitLab/Jenkins CI/CD, Jira, and backend-oriented software development

Tech stack:
Python, FastAPI, PostgreSQL, Docker, REST APIs, OpenAI-compatible APIs, LangChain, RAG, Git, GitLab, GitHub Actions, Jira, OpenTelemetry, Prometheus, Grafana.

My focus is simple: clear communication, clean implementation, and practical AI systems that solve real business problems.

Steps for completing your project

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

Delivery time starts when Narek receives requirements from you.

Narek works on your project following the steps below.

Revisions may occur after the delivery date.

Review requirements and documents

I review your uploaded documents, use case, preferred answer style, privacy notes, and workflow requirements.

Prepare the knowledge base

I structure the provided documents, FAQs, or text content and prepare them for retrieval and answer generation.

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