Architecture for a Private, Multi-User Agentic Assistant
Provides a technical blueprint for a self-hosted, multi-tenant platform that gives each user a private, agentic chatbot with secure, permission-based document retrieval.
21 01, 2026
9 01, 2026
Using MCP Servers with Local Large Language Models (LLMs)
Integrate MCP servers with local LLMs for secure, on-premises AI. Our guide covers the complete architecture, setup, and optimization for private agentic workflows.
9 01, 2026
Building a 100% Local MCP Client with LlamaIndex and Ollama
Learn how to build a 100% local and private MCP client. This complete walkthrough uses LlamaIndex, Ollama, and a local LLM to create a secure agentic workflow.
25 12, 2025
Architecting a Private, Multi-User Agentic RAG System
Learn how to architect and build a private, multi-tenant agentic RAG system. This guide covers the components, data flows, and security principles for creating a self-hosted chatbot that provides personalized, secure access to user-specific documents.