CODLAB / Blog · Categories
Document search, data flows and responsible AI use.
Why do enterprise document assistants often fail before the language model even generates a token? An engineering deep dive from CODLAB into structural chunking, PostgreSQL hybrid search, cross-encoder reranking, distance …
Traditional software tests are deterministic: identical inputs yield identical outputs. Large language models sample from probability distributions. Here is how CODLAB uses multi-run protocols, decomposed metrics, and regression gates to …
Why does hosting a language model on local servers not automatically protect against weaponized PDFs or email attachments? CODLAB examines indirect prompt injection in RAG, untrusted source boundaries, database-enforced tenant …
Unconstrained autonomous agent loops often fail in production due to cascading errors, runaway latency, and blurred permissions. CODLAB explores deterministic state machines for safe tool use and source-grounded Socratic tutors …
Dedicated GPU servers running open-weights models or a European cloud API? CODLAB examines VRAM and KV-cache math, provider-agnostic endpoints, end-to-end data paths, GDPR obligations, and the consolidated EU AI Act.
Telephone callers will not tolerate multi-second dead air or hallucinated callback promises. CODLAB examines the real-time engineering cascade behind enterprise voicebots — from VAD and ASR to state-verified transfers, GDPR …