You will get Custom RAG application using LLM(OpenAi, Claude etc), Langchain & VectorDb

Name: You will get Custom RAG application using LLM(OpenAi, Claude etc), Langchain & VectorDb
Availability: InStock

Shayan A. Shayan A.

5.0

Top Rated

Shayan A. Shayan A.

5.0

Top Rated

Project details

Looking to build a powerful AI application using your own data? I create custom RAG (Retrieval-Augmented Generation) systems using LLMs like OpenAI, Claude, and Llama, combined with LangChain and modern Vector Databases. With strong experience in building real-world AI tools, I deliver fast, accurate, and scalable solutions tailored to your needs.

🔹What I Offer:
• Custom RAG Application
• Data ingestion & document parsing
• Embeddings + Vector DB setup (Pinecone, Chroma, Qdrant, Weaviate)
• LangChain pipelines & semantic search
• Prompt engineering & output tuning
• API integrations & chatbot endpoints
• Deployment (AWS, GCP, Vercel, Docker)

🔹 Why Work With Me:
• Experience building production-grade RAG systems
• Clean, scalable architecture
• Fast delivery & clear communication
• Solutions tailored to your data and goals

Before ordering, feel free to message me so we can discuss your project and ensure the perfect setup.

AI Algorithms

AdaBoost, Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Regression Analysis, Transformer Model, YOLO

AI Applications

AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AIOps, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Synthetic Data Generation, Text Recognition, Time Series Analysis, Time Series Forecasting

AI Development Language

Python

AI Tools

Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, Jasper AI, Microsoft 365 Copilot, PyTorch, Streamlit, TensorFlow

AI Models

AlphaCode, BERT, BLOOM, ChatGPT, GPT-3, GPT-4, GPT-Neo, LaMDA, LLaMA, Naive Bayes Classifier, OpenAI Codex, Whisper

What's included

Service Tiers	Starter $200	Standard $1,400	Advanced $3,000
Delivery Time	3 days	14 days	30 days
Number of Revisions	0	1	1
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

Frequently asked questions

5.0

3 reviews

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MVP Developer Needed Shayan's abilities to blend practical solutions with artistic vision are second to none! I have never had such a smooth experience with a developer. He is incredibly professional, always timely and respectful, and innovation-minded. Hire Shayan with the utmost confidence that your expectations will be blown away!!!

LLM Developer Expert (ASSESS) It was a real pleasure collaborating with this freelancer. Communication was clear and easy throughout, tasks were handled with care, and everything was delivered in a professional and reliable way. Collaboration was smooth and enjoyable, and the overall quality of the work met our expectations very well. A great experience overall.

MVP Developer Needed Shayan went above and beyond every single time, and exceeded my own visions for my platform. I could not have imagined hiring anybody else!!!

About Shayan

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Full-Stack & AI Engineer | AI Agent & RAG | Next.js | FastAPI | Python

100% Job Success

5.0 (3 reviews)

Islamabad, Pakistan - 7:50 am local time

As an AI Engineer and Full Stack Developer with 3+ years of experience, I work with startups and businesses to turn ideas into real, production-ready AI and web applications. I focus on clean architecture and scalable systems designed for long-term systems.

What I Offer:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔹 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
I design agentic workflows using LangChain and Python for production-grade AI systems. These include multi-agent orchestration, tool-using agents, and retrieval-augmented (RAG) pipelines for enterprise automation. My focus is on building scalable RAG systems with optimized retrieval, context ranking, and structured LLM orchestration for real-world applications.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
→ 𝗟𝗟𝗠 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧
‎ ‎ ‎ ‎ ‎OpenAI, Anthropic, Hugging Face, AWS Bedrock
→ 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬
‎ ‎ ‎ ‎ ‎Pinecone, FAISS, Weaviate, Chroma, semantic search, document ingestion, embedding optimization
→ 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐌𝐨𝐝𝐞𝐥 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧
‎ ‎ ‎ ‎ ‎Fine-tuning, performance tuning
→ 𝐍𝐋𝐏 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬
‎ ‎ ‎ ‎ ‎Text classification, summarization, semantic search
→ 𝐀𝐈 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲
‎ ‎ ‎ ‎ Ragas, Langfuse, Prometheus, Grafana
→ 𝗔𝗜 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁
‎ ‎ ‎ ‎ SageMaker, Bedrock, containerized microservices

━━━━━━━━━━━━━━━━━━━━━━━━━
🔹 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁
I provide end-to-end Full-Stack Development for modern web and SaaS products using React, Next.js, TypeScript, and JavaScript for scalable, high-performance Front-End Development. On the backend, I use FastAPI, Node.js, PostgreSQL, and MongoDB to build secure, robust systems with clean architecture and authentication. I also develop scalable API Integration layers connecting frontend, backend, and third-party services.
━━━━━━━━━━━━━━━━━━━━━━━━━
→ 𝗠𝗘𝗥𝗡 𝐒𝐭𝐚𝐜𝐤
‎ ‎ ‎ ‎ MongoDB, Express, React, Node.js
→ 𝐌𝐨𝐝𝐞𝐫𝐧 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬
‎ ‎ ‎ ‎ Next.js, TypeScript, FastAPI, Flask
→ 𝐏𝐲𝐭𝐡𝐨𝐧 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭
‎ ‎ ‎ ‎ Scalable APIs, business logic, Background Tasks
→ 𝐏𝐚𝐲𝐦𝐞𝐧𝐭 𝐌𝐞𝐭𝐡𝐨𝐝 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬
‎ ‎ ‎ ‎ Stripe, PayPal, Subscriptions
→ 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭
‎ ‎ ‎ ‎ Secure, scalable RESTful APIs
→ 𝐒𝐲𝐬𝐭𝐞𝐦 𝐃𝐞𝐬𝐢𝐠𝐧
‎ ‎ ‎ ‎ Authentication, performance optimization, scalability

━━━━━━━━━━━━━━━━━━━━━━━━
🔹 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲
━━━━━━━━━━━━━━━━━━━━━━━━
→ 𝐀𝐖𝐒 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬
‎ ‎ ‎ ‎ Lambda, EC2, S3, ECS, EKS, RDS, DynamoDB, Bedrock, SageMaker
→ 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬
‎ ‎ ‎ ‎ GitHub Actions, AWS CodePipeline, Jenkins
→ 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧
‎ ‎ ‎ ‎ Docker, Kubernetes, serverless & microservices
→ 𝐇𝐨𝐬𝐭𝐢𝐧𝐠 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭
‎ ‎ ‎ ‎ AWS, Azure, Vercel, Firebase
→ 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀
‎ ‎ ‎ ‎ PostgreSQL, MySQL, MongoDB, Redis
→ 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆
‎ ‎ ‎ ‎ CloudWatch, Prometheus, Grafana

━━━━━━━━━━━━━━━━━━━━━━━
🔹 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲?
━━━━━━━━━━━━━━━━━━━━━━━
→ Proven expertise in AI Development, Full-Stack Development and Cloud Engineering
→ Collaborates effectively with teams while maintaining clear, transparent communication.
→ Flexible and comfortable working across different time zones.
→ Writes clean, scalable, and maintainable code.
→ Committed to delivering projects on time.

𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀
AI Engineer | Full Stack Developer | Next.js Developer | React Developer | Python Developer | Machine Learning Engineer | Software Engineer | Deep Learning | Large Language Models (LLMs) | LLM Developer | RAG Systems | Retrieval-Augmented Generation | NLP | Natural Language Processing | Chatbot Developer | Conversational AI | LangChain | OpenAI API | Hugging Face | Tilt | Keycloak | Python | FastAPI | Flask | Vector Databases | Pinecone | Weaviate | FAISS | Prometheus| Grafana | Cloud Engineer | AWS | AWS Bedrock | Intelligent Web Applications | AI Automation | Full-Stack AI Development | Full Stack Developer | Web Developer | Python Django Developer | Angular | React Native | Mobile App Development | Backend Development | Frontend Development | Database Management | MySQL | MongoDB | PostgreSQL | UX | User Experience | Linux | Ubuntu | Gunicorn | GCP | Google Cloud SQL | DigitalOcean | Stripe Integration | Cross-Platform Development | Project Management | Agile Methodologies | Microservices Architecture | Cloud Infrastructure | Kubernetes | Server Optimization | Frontend Frameworks | Web Application Architecture | SPA | GraphQL | WebSocket | JSON | HTTP | GitHub Actions | Web Performance Optimization | Cloud Storage | MongoDB Atlas | Firebase | Next.js SSR | SEO Optimization | CDN Caching | Error Monitoring | Automated Testing | Jenkins | WebSockets | API Rate Limiting | Data Caching | Redis | Webhooks | Cloudflare

Steps for completing your project

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

Delivery time starts when Shayan receives requirements from you.

Shayan works on your project following the steps below.

Revisions may occur after the delivery date.

Project Scoping

I review your requirements, data sources, and desired workflows to confirm the best RAG architecture for your project.

Data Ingestion & Vector Setup

I implement ingestion pipelines, text preprocessing, chunking, embeddings, and configure vector storage tailored to your dataset.

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

Select service tier

Starter$200

Standard$1,400

Advanced$3,000

Core RAG Setup

Core RAG setup with ingestion, vector storage, and semantic retrieval.

Delivery Time 3 days
Number of Revisions 0
- AI Model Integration
- Database Integration
- Detailed Code Comments
- Source Code

3 days delivery — Jul 5, 2026

Revisions may occur after this date.

Upwork Payment Protection

Fund the project upfront. Shayan gets paid once you are satisfied with the work.

You will get Custom RAG application using LLM(OpenAi, Claude etc), Langchain & VectorDb

Let a pro handle the details

Let a pro handle the details

Project details

AI Algorithms

AI Applications

AI Development Language

AI Tools

AI Models

What's included

Frequently asked questions

MW

IM

MW

About Shayan

Full-Stack & AI Engineer | AI Agent & RAG | Next.js | FastAPI | Python

Steps for completing your project

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

Shayan works on your project following the steps below.

Project Scoping

Data Ingestion & Vector Setup

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

Select service tier

Core RAG Setup