You will get RAG System Foundation Setup | Vector DB & Ingestion Optimization
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Project details
You need a RAG system but don't know where to start. I build your foundation end-to-end so you own it long-term.
What I build:
• Vector database setup (Pinecone, Supabase pgvector, or your choice)
• Document ingestion pipeline (chunking, embedding, metadata)
• Retrieval optimization (hybrid search, ranking, relevance tuning)
• 2 rounds of refinement based on your real queries
• Full handoff documentation so you can maintain it
Perfect if:
• You're building a knowledge system or customer support bot
• You need RAG working properly, not hacked together
• You want to understand and maintain it yourself
• You need production-ready, not a prototype
This is not a template. This is a fully architected RAG system designed for reliability and long-term ownership.
Stack: LangChain, LangGraph, Pinecone, Supabase, FastAPI, OpenAI, Claude, AWS
What I build:
• Vector database setup (Pinecone, Supabase pgvector, or your choice)
• Document ingestion pipeline (chunking, embedding, metadata)
• Retrieval optimization (hybrid search, ranking, relevance tuning)
• 2 rounds of refinement based on your real queries
• Full handoff documentation so you can maintain it
Perfect if:
• You're building a knowledge system or customer support bot
• You need RAG working properly, not hacked together
• You want to understand and maintain it yourself
• You need production-ready, not a prototype
This is not a template. This is a fully architected RAG system designed for reliability and long-term ownership.
Stack: LangChain, LangGraph, Pinecone, Supabase, FastAPI, OpenAI, Claude, AWS
Machine Learning Tools
Amazon SageMaker, ChatGPT, Python, SQL, TensorFlowWhat's included $3,500
These options are included with the project scope.
$3,500
- Delivery Time 14 days
- Number of Revisions 2
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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TD
Timmi D.
Jul 7, 2026
Senior AI Engineer – GPT Personality Migration & API Integration
Bilal and his team went above and beyond for us. The work was exceptional, another developer looked at it and told me how impressed he was as well. He and his team completed the work time and on budget. I have already send him another proposal to start phase 2 with us. Nabeel was our project manager that Bilal assigned to us and he was exceptional as well. Bilal is always right there when you need a question answered. I would highly recommend this company. They also did a website for us, it is fun and creative - really did a great job! Thank you Bilal! Looking forward to working with you again!!!
YM
Yuri M.
Nov 24, 2025
AI Legal Document Generator
They’re talented developers who take ownership, solve problems quickly, and communicate extremely well. If you need a team that can build real products (not just small tasks), they’re the ones to hire. Highly recommended!
YM
Yuri M.
Aug 24, 2025
🚀 Build MVP for AI-Powered SEO Content Brief Generator
I had an excellent experience working with this professional. They are reliable, highly skilled, and consistently delivered outstanding results. Communication was always clear and timely, and the quality of work exceeded expectations. They went above and beyond to ensure everything was completed to the highest standard. I would not hesitate to hire them again and highly recommend them to anyone looking for a top-quality expert.
EK
Evonne K.
Aug 3, 2025
AI Prompt Engineer Needed for Chat GPT Prompts
BP
Brendon P.
Sep 18, 2024
Audio to Text Recognition App using AI
Very professional and has a structured approach to app development. His team was able to create a well documented POC for me in just a few days. Everyone involved in the project was very cordial and prompt in communication. Hoping to continue working with Bilal in the future.
About Bilal
AI Engineer | AI Agents, RAG, Automation, LLM Apps & SaaS Development
91%
Job Success
Karachi, Pakistan - 1:58 am local time
I help businesses design, build, improve, and scale practical AI systems from AI agents and RAG applications to document automation, intelligent SaaS platforms, voice assistants, and custom LLM integrations.
𝑰 𝒄𝒂𝒏 𝒔𝒖𝒑𝒑𝒐𝒓𝒕 𝒚𝒐𝒖 𝒘𝒉𝒆𝒕𝒉𝒆𝒓 𝒚𝒐𝒖 𝒂𝒓𝒆:
• Starting an AI product from scratch
• Adding AI features to an existing application
• Replacing manual workflows with automation
• Fixing inaccurate or unreliable AI outputs
• Improving an existing RAG or agent-based system
• Preparing an AI prototype for production and scale
𝑨𝑰 𝑺𝒐𝒍𝒖𝒕𝒊𝒐𝒏𝒔 𝑰 𝑩𝒖𝒊𝒍𝒅:
• AI agents and multi-step automation workflows
• RAG systems and private knowledge assistants
• AI SaaS platforms and internal business tools
• Document parsing, OCR, extraction, and classification
• Natural-language search and recommendation systems
• AI chatbots and customer support assistants
• Voice AI agents, call automation, and transcription systems
• LLM-powered reports, summaries, and content workflows
• Structured data extraction from PDFs, emails, forms, and websites
• OpenAI, Claude, Gemini, and custom model integrations
• AI API development and integration with existing software
𝑾𝒉𝒂𝒕 𝑴𝒂𝒌𝒆𝒔 𝑴𝒚 𝑨𝒑𝒑𝒓𝒐𝒂𝒄𝒉 𝑫𝒊𝒇𝒇𝒆𝒓𝒆𝒏𝒕:
Many AI applications work well in a controlled demo but become unreliable when real users, changing data, larger volumes, or complex workflows are introduced.
𝑰 𝒅𝒆𝒔𝒊𝒈𝒏 𝑨𝑰 𝒔𝒚𝒔𝒕𝒆𝒎𝒔 𝒂𝒓𝒐𝒖𝒏𝒅:
• Accuracy and structured outputs
• Clear fallback and validation logic
• Reliable API and backend architecture
• Secure data handling
• Logging, retries, and error monitoring
• Scalable ingestion and retrieval pipelines
• Cost and latency optimization
• Maintainable code and documentation
𝑹𝒆𝒍𝒆𝒗𝒂𝒏𝒕 𝑬𝒙𝒑𝒆𝒓𝒊𝒆𝒏𝒄𝒆:
• Built a legal AI platform processing more than 50,000 documents per month
• Developed extraction workflows achieving up to 98% accuracy on defined datasets
• Reduced manual document-review work by approximately 70%
• Built AI platforms supporting more than 10,000 daily queries
• Automated repetitive data-entry workflows and reduced operational costs
• Developed FastAPI and Node.js backends for real-time AI applications
• Delivered production systems using OpenAI, Claude, Gemini, LangChain, LangGraph, Pinecone, Supabase, and AWS
𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚 𝑺𝒕𝒂𝒄𝒌:
AI and LLMs:
OpenAI, Claude, Gemini, LangChain, LangGraph, LlamaIndex, RAG, embeddings, prompt engineering, structured outputs, AI agents
Backend:
Python, FastAPI, Node.js, NestJS, TypeScript, REST APIs, webhooks
Databases and Retrieval:
PostgreSQL, Supabase, pgvector, Pinecone, Qdrant, Redis, MongoDB
Cloud and Infrastructure:
AWS, Lambda, S3, Bedrock, Docker, Vercel, CI/CD, logging, and monitoring
Automation and Integrations:
n8n, Make, Zapier, Stripe, Twilio, Google APIs, CRM, and third-party API integrations
𝑯𝒆𝒓𝒆'𝒔 𝑯𝒐𝒘 𝑰 𝑪𝒂𝒏 𝑯𝒆𝒍𝒑:
You do not need to arrive with a complete technical specification.
Share your business problem, current workflow, prototype, or existing application. I will help you identify:
• What should be automated
• Which AI architecture is appropriate
• Whether RAG, an AI agent, or a simpler workflow is the right solution
• What should be included in the MVP
• Where the main technical risks are
• A realistic implementation plan, timeline, and cost
I work through clear milestones, documented deliverables, regular updates, and reviewable releases.
Send me a brief description of your AI idea, current product, or manual workflow. I will review it and suggest the most practical path forward.
Steps for completing your project
After purchasing the project, send requirements so Bilal can start the project.
Delivery time starts when Bilal receives requirements from you.
Bilal works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Architecture Review
I analyze your needs, documents, and use cases to design the optimal RAG system.
Vector Database Setup
I set up and configure your vector DB (Pinecone, Supabase, or your choice) with optimal indexing.