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You will get AI Chatbot with RAG | Instantly Answer Questions from knowledge base

Omer A.Status: Offline
Omer A. Omer A.
4.9
Top Rated
Preview image

Let a pro handle the details

Buy Generative AI services from Omer, priced and ready to go.
Omer A.Status: Offline
Omer A. Omer A.
4.9
Top Rated
Preview image

Let a pro handle the details

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

Project details

Most document AI tools stop at extraction, giving you clean data with no way to actually use it. This package goes further.

What's included:
 • OCR plus two-phase AI processing: document classification, then type-specific extraction
 • Up to 1,000 documents included; architecture scales well beyond that
 • Vector database (Qdrant or pgvector) with embeddings from your processed documents
 • Conversational chatbot, plain-English questions answered with citations to the exact source
 • Audit findings flagged automatically before anything reaches your knowledge base
 • Custom extraction and retrieval tuning matched to your document formats
 • Integration with one existing system, API delivery, or direct database write

I have built this exact architecture for a lending platform processing $500M+ in transactions, so the pipeline is proven in production.
AI Algorithms
Large Language Model, Transformer Model
AI Applications
AI Chatbot, Conversational AI, Natural Language Understanding, Text Recognition
AI Development Language
Python
AI Models
ChatGPT, GPT-4, Whisper

What's included $8,000

These options are included with the project scope.

$8,000
  • Delivery Time 30 days
  • Number of Revisions 3
    • AI Model Integration
    • Database Integration
    • Natural Language Processing
    • Prompt Engineering
    • Source Code
4.9
17 reviews
88% Complete
(15)
12% Complete
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GP

Gabriel P.
4.00
Mar 25, 2026
QA / Full-Stack Developer (APIs + Agentic Workflows) Omer is a smart guy and a good developer.

LE

Louis-Antoine E.
5.00
Jan 5, 2026
Workforce needed for Web3 Platform development (Golang, NextJS, Solidity, Rust, MySQL) Omer and his team put in significant effort and delivered many positive contributions.

JB

Jay B.
5.00
Oct 30, 2025
30 minute consultation

IG

Ivan G.
5.00
Oct 13, 2025
Full-Stack Python & Svelte Developer | 3-Week Rebrand + Infra Upgrade for AI-Invoice SaaS Omer was a key developer in the evolution of our DiFacto platform, successfully completing a crucial phase of work. He rapidly delivered essential administrative and user-facing features, notably the Full Admin Panel Functionality that allows our support team to manage and access user accounts, a huge gain for customer support.

MN

Michael N.
5.00
Oct 2, 2025
Freelance support for Next.js Omer provided us with excellent support for our Next.js projects. I continue to work with him on other projects. Best regards from Germany!
Omer A.Status: Offline

About Omer

Omer A.Status: Offline
Expert AI Engineer | AI Agents, AI Automations, LLMs, RAG | Full Stack
100% Job Success
4.9  (17 reviews)
Lahore, Pakistan - 10:29 am local time
I build AI agents, document AI pipelines, and RAG systems on production data, with full-stack engineering (Python, React, AWS) to take them from architecture to a live platform.

I work deeply with Claude, Claude Code, and MCP for agent architectures. I have also shipped production LLM features on OpenAI, Gemini, LangChain, and RAG pipelines. The stack choice depends on the problem, not on what I feel like using.

WHY WORK WITH ME:
📊 Top 1% Upwork Talent, 5 Star Rating, 100% Job Success
✅ AI Agents, LangGraph, LangChain, RAG Systems, and LLM Integrations taken from architecture to production, still live and earning
✅ Full ownership end to end, backend, frontend, AI pipelines, and deployment, all handled directly by me
✅ Proven across industries: document AI for retail, multi-agent automation for marketing, warehouse-scale data pipelines for Metro Cash & Carry, and full-stack platforms for construction
✅ I tell you upfront what's realistic to build and how long it'll actually take, whether it's a two-week integration or a multi-month build

WHAT I BUILD:

📄 1. AI Document Intelligence & RAG Systems
Structured extraction from unstructured supplier data (emails, spreadsheets, PDFs, ZIP archives) using LLM-based parsing, multimodal vision extraction reading catalogue numbers and barcodes off product photos, deterministic guardrails that stop models from hallucinating identifiers, hybrid retrieval with LLM reranking (pgvector, HNSW), and semantic entity resolution across a 49,000+ record catalogue.

🤖 2. Multi-Agent Systems & Automation
Multi-agent LLM pipelines (Claude, OpenAI, Gemini, Groq) running keyword research, content generation, image generation, and ad campaign deployment end to end for a marketing agency, with prompt-engineered agents handling task routing and decision-making across the full workflow. Live in production and generate $15K+ MRR with zero manual intervention.

🏗️ 3. Enterprise Data Pipelines
Warehouse-native data pipelines (BigQuery, GCP Dataform) built for Metro Cash & Carry, one of Europe's largest wholesalers, turning multi-country credit scoring into a self-configuring, config-driven system. Processing 2.8M + records per country entirely in-warehouse, with new-market onboarding reduced from a development project to a config file and a CSV upload.

💻 4. Full-Stack SaaS Development
End-to-end products from first sketch to live platform for a rebar manufacturer, integrating AI and LLM features directly into production applications: React/Next.js frontends, Python/Django/FastAPI backends, PostgreSQL/MongoDB data layers, deployed on AWS with Docker and CI/CD. Generated $30M+ in orders and 1,000+ active users in its first month, and earned a spot in a construction-tech incubator program.

MY STACK:

AI/LLM: Claude, OpenAI, Gemini, Groq, RAG, pgvector (HNSW), DSPy, multi-agent orchestration, prompt engineering, LLM extraction, multi-provider model routing, semantic search, fal.ai, zbar, Ideogram

Backend: Python, Django, FastAPI, Node.js, Celery, RESTful APIs, SQLAlchemy, Alembic, WebSockets, JWT Authentication

Frontend: React, Next.js, TypeScript, Tailwind, Konva.js, Vite, shadcn/ui, TanStack Query

Database: PostgreSQL, MongoDB, Redis, BigQuery, MSSQL

Infra: AWS, AWS Lambda, AWS Amplify, Docker, Kafka, Elasticsearch, CI/CD, GCP Dataform, GCP Cloud Run, GCP Cloud Functions, Looker Studio, DigitalOcean

Integrations: Playwright, Discogs API, MusicBrainz API, SpyFu API

Development Tools: Claude Code, MCP, Cursor, Git, GitHub Actions

Building something with AI agents, need a document AI pipeline that handles messy real data, or scaling a full-stack SaaS product? Tell me what you're working on, happy to talk through how I'd approach it.

Steps for completing your project

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

Delivery time starts when Omer receives requirements from you.

Omer works on your project following the steps below.

Revisions may occur after the delivery date.

Document Pipeline Setup

OCR plus two-phase AI classification and extraction, tuned to your document formats.

Vector Database & Embeddings

Process up to 1,000 documents, generate embeddings, index for retrieval (Qdrant or pgvector).

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