11 articles tagged Vectordb
Golden paths become load-bearing walls
Why thick internal SDKs for AI features become migration hazards, and how to design a thin runtime that enforces model ID, prompt version and embedding dimension.
13 min read · 21 September 2026
Designing a Schema That Survives Embedding Model Upgrades
Why embedding columns break on model upgrades, how to version vectors, migrate legacy JSON payloads, and when to offload to a vector store.
11 min read · 13 September 2026
IDP for AI: 2026 stack evolution
How to wire embedding model changes into an internal developer platform so dimension drift fails loudly instead of silently shipping broken indexes.
14 min read · 2 September 2026
AI on slow networks: Nairobi teams' 2026 playbook
How to cut perceived AI latency with multi-tier caching, stampede guards, and edge orchestration, plus how to measure each layer yourself.
13 min read · 26 August 2026
Prompt Injection Is Not Your Biggest LLM Data Risk
Prompt injection dominates LLM security checklists, but poisoned training data and label drift often cause more damage. A pipeline-stage model for triage.
17 min read · 3 August 2026
Postgres vector search: what breaks first
pgvector works until load grows. Here is what fails first, how to measure it, and when a dedicated ANN service earns its operational cost.
13 min read · 24 July 2026
AI memory systems: context that survives sessions
Why AI agents silently lose memory across restarts, how to scope memory to a session, and how to test persistence before production.
12 min read · 2 July 2026
AI apps break when you treat them like regular software
AI apps fail differently from CRUD services: state accumulates, caches churn, and model outputs drift. Here is how to design, measure, and bound those failure modes.
15 min read · 27 June 2026
AI freelance rates 2026: which stacks still pay
AI code generation shifts effort from writing components to compliance, observability and edge cases. Here is how to price and instrument that hidden work.
12 min read · 13 June 2026
Designing an AI Alert Triage Layer That Reduces Pages
How to build an AI alert-triage service between Alertmanager and your pager: fingerprinting, LLM filtering, fail-open rules, and honest measurement.
14 min read · 12 June 2026
Personal AI assistants: avoid vendor lock-in traps
How to structure a personal AI assistant as replaceable services: contracts, self-hosted embeddings, retries, failure modes, and a checklist to start.
15 min read · 11 June 2026