Context Window Packing Strategies for Retrieved Web Documents
Four failure patterns show why context packing strategy matters as much as retrieval quality.
Priya Subramaniam
Staff Writer
Priya Subramaniam
Priya spent eight years as a distributed systems engineer at a mid-sized search infrastructure company before moving into technical journalism. She covers the architectural underpinnings of retrieval systems, with particular attention to how pipeline decisions compound at enterprise scale.
7 stories
Prompt Injection Risks From Web-Retrieved Content in AI Agents
Web-scraped content gives attackers an untrusted channel directly into AI agents' reasoning loops.
Priya Subramaniam
Query Decomposition and Sub-Query Planning for Multi-Step Web Research
Breaking complex questions into ordered sub-queries before retrieval.
Priya Subramaniam
Tool-Calling Design for Web Search in LLM Agents
How to design tool schemas that make LLM agents search the web reliably.
Priya Subramaniam
Agentic Retrieval Loops and When Agents Should Re-Query the Web
Knowing when agents should re-query, not just if they can, catches hallucinations.
Priya Subramaniam
Graph-Enhanced RAG for Multi-Hop Web Knowledge Retrieval
Graph-enhanced retrieval chains evidence across documents instead of ranking isolated chunks.
Priya Subramaniam
Indexing Freshness and TTL Strategies for Web-Sourced Vector Stores
Stale embeddings silently break RAG systems without triggering alerts.
Priya Subramaniam