Tag

RAG

12 articles

RAGGenerating a Synthetic Dataset for RAGUse a big model to train a small retriever, for about $55 instead of a month of labelingJuly 2, 20266 minJuly 2, 20266 min
LLM IntegrationFactuality: Prompting to Reduce HallucinationThree prompt-level moves that cut made-up answers, and where prompting stops being enoughJuly 2, 20266 minJuly 2, 20266 min
LLM IntegrationGraph Prompting, ExplainedWhat it means to prompt a model with nodes and edges, and when it actually helpsJuly 2, 20268 minJuly 2, 20268 min
Prompt Engineering, Properly · Part 7Generated-Knowledge Prompting: Surface Facts Before You AnswerHave the model write down what it knows first, then answer using that as contextJune 29, 20266 minJune 29, 20266 min
RAGBuilding a Multi-Tenant RAG System: Isolation, Per-Tenant Indexes, and the Leaks Nobody Plans ForThe day one customer retrieves another customer's documents, it is over. Here is how to make sure that never happens.June 24, 20269 minJune 24, 20269 min
AI InfrastructureFive Projects to Actually Master AI Engineering (for Experienced Engineers)Skip the toy chatbots. Build the five systems that teach the hard parts: retrieval, agents, evals, cost, and reliability.June 23, 20267 minJune 23, 20267 min
LLM IntegrationPrompt Caching for LLM Apps: What It Is and When It Pays OffHow providers cache your prompt prefix, the real discounts, and the prompt structure that decides whether you save anythingJune 22, 20266 minJune 22, 20266 min
Production RAG · Part 4Choosing a Vector Database in 2026: pgvector vs Pinecone vs Qdrant vs WeaviateMost teams should start with pgvector and only move when they have a real reason. Here is how to know when that day comes.June 20, 20266 minJune 20, 20266 min
Production RAG · Part 3Embeddings Explained for EngineersWhat embeddings really are, why cosine similarity works, and how to pick a model without trusting a leaderboard blindlyJune 20, 20265 minJune 20, 20265 min
Production RAG · Part 2Reranking in RAG: Cross-Encoders and When They Are Worth the LatencyA reranker can rescue a mediocre retriever or waste 200ms on an already-correct answer. Knowing which is the whole skill.June 20, 20265 minJune 20, 20265 min
Production RAG · Part 1Chunking Strategies for RAG: Fixed, Recursive, Semantic, and How to ChooseWhy recursive splitting is the right default, and the few cases where you should reach for something fancierJune 20, 20266 minJune 20, 20266 min
Agentic AI in Practice · Part 2Agentic RAG, and How It Differs from Traditional RAGWhen retrieval stops being a fixed step and becomes something the agent decidesJune 19, 20268 minJune 19, 20268 min