How to Isolate Contract Evidence by Tenant: Retrieval Checks That Survive Review
Short answer: make tenant scope a signed, server-derived capability that every retrieval stage consumes, then prove isolation with adversarial tests…
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Travel Planner Retrieval Design with Bounded Access Rules and Source Citations
Short answer: a travel itinerary planner needs a staged retrieval architecture with bounded access rules and source context attached to every answer…
Recruiting Candidate Search Source Deduplication — A 3-Stage Node.js Retrieval Design
Short answer: use a staged retrieval design with explicit collections, bounded queries, and traceable source context for recruiting candidate search…
Insurance Claims Retrieval Architecture with Node.js: Five Access-Rule Checks
Short answer: use a staged retrieval design with explicit collections, bounded queries, and traceable source context; make access rules part of retr…
Freshness-Aware Retrieval Architecture for News Monitoring Metadata Filters in Production
Short answer: use a staged retrieval design with explicit collections, bounded queries, and traceable source context. For a news monitoring service,…
Python Retrieval Architecture for Course Tutors: Chunk Boundaries (and Why)
Short answer: use a staged retrieval design with explicit collections, bounded queries, and source context that survives all the way to the tutor's…
How to Shape Insurance Claims Retrieval Architecture: 5 Access Rules for Auditable Intake
Short answer: use a staged retrieval design with explicit collections, bounded queries, and source context that survives every handoff. For an insur…
Фреймворк RAFT: как работает RAG на максималках от Microsoft
Чтобы быстрее отвечать пользователям, команды техподдержки применяют RAG — подход, при котором нейросеть ищет информацию в базе знаний и опирается н…
Node.js Thumbnail Delivery — Separating Asset Retrieval From Asynchronous Work State
When a media upload creates a responsive thumbnail, storage and cache cost depend on one small architectural distinction: bytes and work state are d…
Гибридный RAG на Налоговом кодексе: восемь находок, семь потерь
守 (Сю) — это про то, как, сохранив себя, достичь своей лучшей версии. При чём здесь RAG? Да при том, что, прежде чем рваться к агентным RAG и GraphR…
Recall Is a Write Operation: Why Usage-Weighted Memory Ranking Cannot Discover It Was Wrong
Recall Is a Write Operation: Why Usage-Weighted Memory Ranking Cannot Discover It Was Wrong Ask an agent memory store what it knows about a topic an…
LLMOps for RAG Systems — Production Checklist
Why the pipeline, not the model, is usually to blame If your LLM feature starts hallucinating or your inference bill doubles overnight, the model is…
RAG Retrieval Gotchas at Scale: Insights and Solutions
RAG Retrieval Gotchas at Scale: Insights and Solutions Retrieval-Augmented Generation (RAG) has become a popular technique for enhancing natural lan…
Retrieval в 2026: как RAG переехал с энкодеров на LLM (и что с этим делать в своём проекте)
Если вы строили RAG в 2023, ваш стек выглядел плюс-минус одинаково. BERT-семейство (BGE, e5) для семантики, BM25 для буквальных совпадений, cross-en…
Почему RAG — это не просто «добавить поиск»: latency, качество и выбор стратегии retrieval
Когда говорят про RAG, его часто описывают как простой способ улучшить LLM‑систему: добавить поиск по внешним данным, найти релевантн…
KNN-Based Risk Scoring: What Actually Works
KNN retrieval shows up in a lot of risk control pipelines. The general idea is simple: embed your content, find its nearest neighbors in a labeled s…