Self-hosted AI guides
Chroma vs Weaviate for Self-Hosted Deployments: What Actually Matters
Compare Chroma and Weaviate for self-hosted vector search, including setup complexity, filtering, scalability, and maintenance trade-offs.
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CPU vs GPU for AI Inference: Which One Makes Sense?
Compare CPU vs GPU for AI inference, including cost, latency, throughput, power use, and when each option makes sense for self-hosted model serving.
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How to Deliver Digital Products from a Self-Hosted Stack
A practical guide to self-hosted digital product delivery, from file access and license workflows to payment-triggered fulfillment.
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Document Search AI for Private Data: A Practical Architecture
Build document search AI for private files, policies, and internal docs with secure ingestion, retrieval, and answer grounding.
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Embeddings Pipeline Best Practices for Self-Hosted Search
Improve semantic retrieval with a better embeddings pipeline, from preprocessing and chunking to versioning, reindexing, and evaluation.
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How to Use Grafana for Monitoring Self-Hosted Services
Learn how to use Grafana dashboards effectively for self-hosted monitoring, from data sources and panels to alert-friendly layouts.
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How to Set Up Listmonk for a Small Business Newsletter
A planning-focused overview of Listmonk setup, from server planning and SMTP configuration to subscriber forms and campaign sending.
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Local AI Model Serving: What It Takes to Run Models Reliably
A practical look at local AI model serving, including runtimes, APIs, hardware planning, and the operational habits that make self-hosted inference sustainable.
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How to Build a Local Document Q&A System Without Sending Files to SaaS
Create a local document Q&A system for PDFs, notes, and internal docs using self-hosted embeddings, vector search, and grounded answers.
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Local Embedding Models: A Practical Guide for Private Search and RAG
Understand local embedding models, when to run them on CPU or GPU, and how they support private semantic search, clustering, and retrieval workflows.
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Make vs n8n: Which Automation Platform Fits AI Workflows Better?
A practical comparison of Make vs n8n across pricing, flexibility, self-hosting, integrations, and AI workflow design for technical teams.
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Matomo Setup Guide for Self-Hosted Analytics on Your Own Server
A planning-focused guide to planning, installing, and operating a self-hosted Matomo instance for privacy-aware website analytics.
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How to Build a Membership Site Without SaaS Lock-In
A practical blueprint for building a membership site without relying entirely on SaaS platforms for access, billing logic, and customer ownership.
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No-Code AI Automation: What It Does Well and Where It Breaks
A grounded look at no-code AI automation, including common use cases, operational limits, and how to design safer workflows.
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Observability Without SaaS: A Stack You Can Maintain
How to build observability without SaaS using self-hosted metrics, logs, dashboards, and alerts that stay manageable over time.
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How to Set Up Ollama for Local AI on Linux or macOS
A practical Ollama setup guide covering installation, model pulls, API usage, and hardware expectations for a useful local AI endpoint.
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Open-Source Contact Management for Businesses That Outgrew Spreadsheets
How to evaluate open-source contact management tools when spreadsheets and shared inboxes no longer provide enough structure.
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Open-Source Model Hosting: How to Serve Models You Control
A practical guide to open-source model hosting, including storage, runtimes, APIs, and the tradeoffs involved in serving models on infrastructure you control.
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Plausible vs Umami for Self-Hosted Analytics: Which Should You Choose?
A practical comparison of Plausible and Umami for teams that want lightweight, privacy-friendly self-hosted web analytics.
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Privacy-First Contact Forms That Still Convert
A practical framework for building privacy-first contact forms that still convert well and integrate with your own systems.
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