Insights
Insights
What we're learning, writing, and occasionally arguing about. Engineering posts, opinion pieces, and case notes from our work.
AI
Fine-tuning LLMs in 2026: when it's worth the effort
Fine-tuning vs prompting vs RAG — the decision framework, economics, and pitfalls. When does custom training pay off?
Mar 12, 2026 · Anthra AI Team · 4 min read
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AI
Choosing a vector database in 2026: a practical comparison
pgvector, Pinecone, Qdrant, Weaviate, Vespa — compared across performance, cost, operational complexity, and feature maturity.
Anthra AI Team · Feb 12, 2026 · 9 min read
AI
RAG evaluation: the tests we run before shipping any LLM feature
A production-grade evaluation harness for retrieval-augmented generation. Golden datasets, LLM-as-judge, retrieval metrics, and regression gates.
Anthra AI Team · Jan 22, 2026 · 5 min read
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