Descriptions
🚀 Bring Real Intelligence to Your AI Apps with MCP + RAG
Want your AI app to go beyond generic ChatGPT answers and deliver accurate, context-aware, private responses based on your own data?
I specialize in building MCP (Model Context Protocol) and RAG (Retrieval-Augmented Generation) systems that connect your data, APIs, and tools directly into advanced AI models — giving your users a custom, intelligent, and reliable AI experience.
🤖 What I Can Build for You
✅ Full MCP integration — connect your AI model to live data, tools, APIs, and databases
✅ RAG pipelines — enable your model to retrieve knowledge from PDFs, docs, and databases in real time
✅ Vector database setup (FAISS, Pinecone, Weaviate, Qdrant, ChromaDB, etc.)
✅ Private AI assistants for teams, websites, or SaaS platforms
✅ Secure API endpoints and context injection for LLMs (GPT-4, Claude, Gemini, etc.)
✅ Fast, optimized retrieval + context window management
🧩 Example Use Cases
- 🧾 AI Knowledge Base Assistant: Train your model on internal company data or documentation
- 💬 Custom Chatbots: Use RAG + MCP to create domain-specific chatbots (finance, health, education, etc.)
- 🧠 Smart Search Engines: Enable intelligent document or database queries powered by LLMs
- 🏢 Enterprise AI Portals: Integrate secure, private AI across your organization
- 🔍 Research or SaaS Tools: Retrieve, summarize, and explain data instantly
⚙️ Tech Stack & Tools
- MCP Frameworks: LangChain, LlamaIndex, Vercel MCP
- RAG Components: FAISS, ChromaDB, Pinecone, Qdrant, Weaviate
- AI Models: GPT-4, Claude 3, Gemini 1.5, Mistral
- Backend: FastAPI, Node.js, Flask
- Databases: PostgreSQL, MongoDB, Supabase
- Deployment: Docker, AWS, Render, Vercel
🏆 Why Clients Choose Me
- Expert in AI System Architecture & Advanced LLM Integrations
- Experience with real-world production RAG systems
- Clean, secure, and well-documented implementations
- Fast delivery and post-launch support
- 100% custom — built specifically for your project goals
💥 Optional Add-Ons
⭐ Custom admin dashboard for monitoring RAG usage
⭐ Hybrid multi-model setup (GPT + Claude + Gemini)
⭐ API usage & analytics tracking
⭐ Auto-updating knowledge base integration (live sync)
Packages
| Packages |
Basic
$149 |
Standard
$449 |
Premium
$749 |
|---|---|---|---|
| Delivery Time | 2 day | 3 day | 5 day |
| Number of Revisions | _ | _ | |
| MCP Setup | _ | _ | |
| MCP + RAG Setup | _ | _ | |
| MCP + RAG + LLM Setup | _ | _ |
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