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I will build an ai knowledge assistant with rag for private business documents
Aiinnovatex
About this gig
Static document folders create "information silos" that force your team to spend hours on manual research. I build production grade RAG (Retrieval `Augmented Generation) AI agents and chatbots grounded specifically in your private business data.
Based on research for legal firms and medical education platforms, these agents don't just "chat" they utilize pgvector and vector search engines to perform high accuracy research, summarize complex reports, and assist with document drafting. By grounding the AI in your specific content, we eliminate the hallucinations found in generic models.
System Capabilities:
- Grounded Search: AI chat grounded strictly in your uploaded course content, legal cases, or technical manuals.
- Complex Extraction: Automatically pulls important details and structured data from heavy legal or financial files.
- Security First Architecture: Implements a de-identification layer and PHI masking to protect sensitive data before LLM processing.
- Multi Format Support: Seamlessly handles PDFs, databases, and website content via a centralized content library.
- Turnkey Deployment: Scalable, cloud hosted infrastructure (AWS/Supabase) with full source code ownership.
Get to know Aiinnovatex
Aiinnovatex
AI SaaS Engineer, Custom Web Apps, Scalable Automation systems
- FromChile
- Member sinceJul 2024
Languages
Dutch, German, Portuguese
I specialize in the development of AI powered SaaS platforms and custom web applications tailored for enterprise scalability. My objective is to build high performance systems that automate manual workflows and improve organizational throughput. By utilizing clean architecture and modern tech stacks, I provide the technical foundation for reliable, long term growth. From initial MVPs to complex internal tools, I deliver production ready solutions engineered to meet the specific demands of a professional business environment.
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Other AI Development Services I Offer
FAQ
How do you prevent the AI from making up information (hallucinating)?
The system uses a Retrieval-Augmented Generation (RAG) architecture. This means the AI is grounded in your specific documents. It is required to search your private knowledge base first and provide answers based only on that verified content, significantly increasing accuracy.
Is my sensitive business data shared with the AI provider?
we can implement a PHI masking and de-identification layer. This ensures that sensitive information is redacted or tokenized before it ever reaches the LLM API, maintaining your firm's privacy and compliance.
What kind of documents can this system handle?
The architecture is designed to manage a centralized content library including industry-specific documents, legal files, invoices, and financial reports. It utilizes AI assisted data extraction to make even "unstructured" text searchable and quarriable.
