You will get a secure enterprise AI agent and context-locked RAG database
Rising Talent
Project details
Stop wasting time searching through endless internal PDFs, manuals, and databases. Securely unlock your company's knowledge with a custom, production-grade Enterprise AI Agent and context-locked RAG (Retrieval-Augmented Generation) system.
I specialize in architecting advanced AI pipelines that interface with your internal documentation under absolute security—ensuring zero data leaks and zero hallucinations.
What this project delivers:
• Semantic Ingestion & Chunking: Intelligent document splitting that respects logical boundaries and hierarchical layouts.
• Hybrid Search Indexing: Combines semantic vector search with keyword-based retrieval for 100% precise technical matching.
• Strict Context-Locking Guardrails: Prompts designed to lock the LLM to your files. If the answer isn't there, it won't hallucinate.
• Resilient System Architecture: Built with asynchronous background task monitors, failover paid fallbacks, and self-healing JSON parsing.
Turn your unstructured data into a secure, competitive asset. Ready to build a production-grade system optimized for OpenAI, Gemini, or DeepSeek.
I specialize in architecting advanced AI pipelines that interface with your internal documentation under absolute security—ensuring zero data leaks and zero hallucinations.
What this project delivers:
• Semantic Ingestion & Chunking: Intelligent document splitting that respects logical boundaries and hierarchical layouts.
• Hybrid Search Indexing: Combines semantic vector search with keyword-based retrieval for 100% precise technical matching.
• Strict Context-Locking Guardrails: Prompts designed to lock the LLM to your files. If the answer isn't there, it won't hallucinate.
• Resilient System Architecture: Built with asynchronous background task monitors, failover paid fallbacks, and self-healing JSON parsing.
Turn your unstructured data into a secure, competitive asset. Ready to build a production-grade system optimized for OpenAI, Gemini, or DeepSeek.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$2,500
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages | 1 | 3 | 5 |
Design Customization | - | ||
Content Upload | |||
Responsive Design | |||
Source Code |
About Imre
Multi-Agent AI Architect - Solving Unsolvable AI Problems
Sajoivanka, Hungary - 9:05 am local time
I specialize in architecting advanced AI ecosystems, specifically stepping in where standard, single-model solutions hit their operational limits.
The Problem with Standard AI
Most basic AI implementations eventually crash into the same structural bottlenecks: hallucination, memory decay, and strict context limitations. Simple prompt engineering or basic script wrappers cannot solve these systemic issues.
The Architecture (My Approach)
To achieve a true competitive edge, a business needs a dynamic system, not a static tool. I build custom, multi-agent network architectures with living memory and interconnected logical loops. By structuring specialized, subordinated AI agents to act as a unified organizational brain, we bypass standard limitations entirely.
Who I Work With
My focus is strictly on high-level system architecture. I partner with clients who have concrete, complex operational problems and trust the technical execution of non-linear dependencies. (If you only need basic ChatGPT templates or someone to teach your team the basics, my services will not be the most cost-effective fit for you.)
The Execution Protocol
I believe in proving the architecture before expending resources. If you realize that a custom multi-agent ecosystem is the logical next step for your business:
We map out the core problem.
I will build a concept blueprint and prototype approach as part of an initial validation phase (at a reduced, fixed fee).
We verify the architecture together.
We only proceed to full implementation if the structural logic guarantees results.
If you are ready to build a bulletproof AI engine, let’s connect. If you don't have a complex architectural problem yet, bookmark this profile for when you encounter your first systemic bottleneck.
Steps for completing your project
After purchasing the project, send requirements so Imre can start the project.
Delivery time starts when Imre receives requirements from you.
Imre works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Architecture Planning
We analyze your business documents, define the optimal semantic chunking strategy, and map out the secure RAG system architecture.
Data Pipeline & Vector DB Setup
Building the automated ingestion pipeline, converting unstructured files into semantic vector embeddings, and setting up the vector database.