Self-hosted AI guides
Privacy-First Web Analytics for Small Sites: What to Track and What to Skip
A practical framework for running privacy-first web analytics on a small site without collecting unnecessary user data.
Read the guide →Private AI Assistant Setup: Build a Local Assistant You Control
Learn how to set up a private AI assistant using local models, self-hosted interfaces, and careful data boundaries for safer everyday use.
Read the guide →Private Knowledge Base Architecture for Teams That Need Control
Design a private knowledge base with indexing, permissions, citations, and self-hosted search that supports internal documentation at scale.
Read the guide →Prometheus Setup for Self-Hosted Monitoring: A Practical Starting Point
A beginner-friendly Prometheus setup guide for self-hosted monitoring, including exporters, scraping, retention, and dashboard planning.
Read the guide →Qdrant Setup Guide for Self-Hosted Vector Search
A step-by-step Qdrant setup guide covering deployment, collections, metadata filters, persistence, and production-minded self-hosted usage.
Read the guide →Quantization for Small Servers: More Model, Less Hardware
Learn how quantization helps small servers run useful AI models by reducing memory use, improving feasibility, and balancing quality against speed.
Read the guide →Self-Hosted AI Search Stack: Components, Trade-Offs, and Deployment Tips
Plan a self-hosted AI search stack with document ingestion, embeddings, vector storage, reranking, and secure query services.
Read the guide →Self-Hosted Automation Tools: When Ownership Makes Sense
Explore the benefits and tradeoffs of self-hosted automation tools for teams that want more control over data, integrations, and infrastructure.
Read the guide →Best Self-Hosted Chat UI Options for Local LLMs
Explore what makes a good self-hosted chat UI for local LLMs, from authentication and model switching to document upload and API compatibility.
Read the guide →Self-Hosted CRM Tools for Small Teams That Want More Control
A practical look at self-hosted CRM tools, when they make sense, and how to choose one without recreating enterprise software pain.
Read the guide →Self-Hosted Email Automation: What to Own and Outsource
A realistic framework for building self-hosted email automation without taking on unnecessary deliverability and maintenance risk.
Read the guide →Self-Hosted LLM Inference: A Practical Guide for Small Teams
Learn how self-hosted LLM inference works, what hardware matters, and how small teams can run private, reliable model serving without overbuilding.
Read the guide →Self-Hosted Log Aggregation: How to Centralize Logs Without the SaaS Tax
A practical guide to self-hosted log aggregation, including architecture, retention, search strategy, and common mistakes to avoid.
Read the guide →Self-Hosted Payment Tools: What Businesses Can Control Without Becoming a Bank
A realistic guide to self-hosted payment tools, payment flows, and where businesses should draw the line between ownership and regulated complexity.
Read the guide →How to Build a Self-Hosted RAG Pipeline That Stays Maintainable
A practical guide to designing a self-hosted retrieval-augmented generation pipeline for private documents, better answers, and simpler operations.
Read the guide →Self-Hosted Uptime Monitoring: A Practical Guide for Small Infrastructure
How to build a self-hosted uptime monitoring setup that checks the right services, reduces false alarms, and stays easy to maintain.
Read the guide →Semantic Search Deployment Checklist for Self-Hosted Teams
Use this semantic search deployment checklist to launch a reliable self-hosted retrieval system with indexing, filtering, security, and evaluation.
Read the guide →Server Metrics Dashboard Best Practices for Self-Hosted Infrastructure
What to include in a server metrics dashboard, how to avoid noisy charts, and how to make self-hosted monitoring actually useful.
Read the guide →Vector Database Setup Guide for Self-Hosted AI Search
Learn how to set up a self-hosted vector database for embeddings, metadata filters, and production-ready semantic search workflows.
Read the guide →vLLM Deployment Guide: Fast OpenAI-Compatible Model Serving
Understand when to use vLLM, how to deploy it, and why it is popular for fast, OpenAI-compatible serving of open models on GPUs.
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