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I will build a secure rag system for private document qna
ProAI
À propos de ce service
Your documents hold the answers your team needs. I build private, secure AI systems that let you ask questions and get cited answers instantly.
What You Get:
I build secure Retrieval-Augmented Generation (RAG) systems that:
- Read: PDFs, Word docs, Excel, Markdown, and more
- Index: Create searchable embeddings of your documents
- Answer: Provide accurate, cited responses to any question
- Protect: Full self-hosting inside your VPC; data never leaves your control
What I Deliver:
- Complete RAG pipeline code (LlamaIndex / LangChain)
- Vector database setup (ChromaDB, Pinecone, or AWS OpenSearch)
- LLM integration (OpenRouter, AWS Bedrock, or OpenAI)
- Security architecture with Guardrails and PII redaction
- Deployment guide
Why Me:
- Expertise in LlamaIndex, SplatRag, and RAGFlow
- AWS Bedrock Knowledge Bases specialist
- Security-first: VPC self-hosting, IAM, KMS encryption
- Results: 45 min to 2 min document search (95% faster)
Ready to unlock your documents? Click "Order Now" or message me for a custom quote.
Découvrez ProAI
ProAI
Integra8ai
- DeNigeria
- Membre depuissept. 2021
- Temps de réponse moy.1 heure
Langues
Anglais, Français, Espagnol, Arabe
I'm an AI Agent Architect building production-grade, enterprise-ready AI solutions that bridge open-source frameworks with secure cloud infrastructure.
What I build:
• Multi-agent systems (LangGraph, CrewAI, Swarms)
• Voice & Vision AI (LiveKit, Gemini Live)
• Secure RAG & Document Intelligence (LlamaIndex, AWS Bedrock)
• Self-hosted Telephony (active-call, Voxtra)
• Custom Model Fine-Tuning (SageMaker, NVIDIA DGX)
My stack: AWS (Bedrock, SageMaker) + NVIDIA (Triton, NeMo) + MCP/A2A standards.
Security-first: VPC self-hosting, IAM, Guardrails, human-in-the-loop.
DM for a unique Experience.
Mon portfolio
FAQ
What is a RAG system?
RAG (Retrieval-Augmented Generation) is an AI architecture that connects a large language model to your private documents. It allows you to ask questions and get accurate, cited answers based on your own data—not just the model's training data.
What document types do you support?
Basic: PDF, TXT, Markdown. Standard: PDF, Word, MD, Excel. Premium: All formats including scanned documents (OCR), images with text, and complex formatting with tables.
How many documents can I process?
Basic: Up to 1,000 documents. Standard: Up to 10,000 documents. Premium: 50,000+ documents.
Is my data safe?
Absolutely. All deployments are fully self-hosted inside your infrastructure (AWS VPC). Your documents never leave your control. I implement Bedrock Guardrails for PII redaction, IAM least-privilege access, and KMS encryption. I never train models on your data—you retain full ownership.
What retrieval technology do you use?
I use LlamaIndex for robust ingestion pipelines, SplatRag for state-of-the-art retrieval accuracy (0.78 nDCG@10 on benchmarks), and R2R for 3x faster ingestion than synchronous frameworks. Standard and Premium tiers include hybrid search (semantic + keyword) for maximum precision.
Do I need to provide my own LLM API key?
Yes. You'll need API keys for your chosen LLM provider. I recommend OpenRouter (free tier available), AWS Bedrock, or OpenAI. I can help you set this up.
What vector database do you use?
Basic: ChromaDB (local). Standard: Pinecone, Weaviate, or AWS OpenSearch. Premium: AWS OpenSearch with hybrid search and multi-modal retrieval.
What's the difference between Basic, Standard, and Premium?
Basic ($500): 1,000 docs, basic RAG, ChromaDB, 5-day delivery. **Standard** ($2,000): 10,000 docs, SplatRag, hybrid search, Bedrock KB, 10-day delivery. Premium ($6,000): 50K+ docs, SplatRag + R2R, multi-modal retrieval, VPC self-hosting, Guardrails, training, 21-day delivery.
Can I see where the answers come from?
Yes. All packages include source attribution and citations. The system tells you exactly which document and section each answer came from.
What if I need to add more documents later?
You can. The system is designed to be extensible. For ongoing support, consider my retainer services or message me for a custom quote.
