Run a document Q&A agent on infrastructure you control
The problem
Legal and compliance won't allow sending internal documents to a US-hosted SaaS chatbot.
The workflow
- 1
Parse internal documents
Contracts, policies and manuals are parsed into AI-ready chunks.
- 2
Build the agent workflow
Assemble retrieval, tools and prompts in a visual builder that can be self-hosted.
- 3
Choose a model you can self-host
Use a model platform that offers self-hosted deployment so data stays within your perimeter.
Expected outcome
An internal agent that keeps documents inside your own infrastructure.
Qualitative. We do not publish time-saved or ROI figures until we have measured them.
The stack
Document parsing
LlamaIndex (LlamaParse)
LlamaIndex
Document OCR and agent workflows.
Self-hostable agent workflows
Dify
LangGenius
Platform for production-ready agentic workflows.
Open-source visual builder (alternative)
Flowise
Flowise
Build AI agents visually.
Model platform with self-hosting
Mistral AI Studio
Mistral AI
Build, deploy and govern agentic AI systems.
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