“retrieval”
Multi-Hop Retrieval: Answering Questions That Span Multiple Sources
How multi-hop retrieval extends RAG with an iterative retrieve, reason, and re-query loop, and how to implement it as a bounded LangGraph workflow.
Re-Ranking Retrieved Context Before Injection: Precision Over Recall in RAG
Improve RAG accuracy by re-ranking retrieved documents with cross-encoders, semantic similarity, and diversity-aware ranking before injecting into LLM context.
Query Rewriting and Expansion for Agentic Retrieval: Better Search Starts Here
Transform vague user queries into precise retrieval targets using query rewriting, expansion, and decomposition techniques for agentic RAG systems.
RAG Evaluation: Measuring Retrieval Quality Objectively
A RAG pipeline fails in two halves: retrieval and generation. Build a transparent Python eval harness computing hit_rate, MRR, context precision/recall, and faithfulness to know exactly which half to fix.
Beyond Basic RAG: Exploring Advanced Retrieval Techniques for AI Devs
Dive into advanced Retrieval-Augmented Generation techniques like query expansion, re-ranking, and hybrid search.