Context Compression Before the LLM: Cutting Tokens Without Cutting Recall (opens in new tab)

Book: RAG Pocket Guide: Retrieval, Chunking, and Reranking Patterns for Production Also by me: Thinking in Go (2-book series) — Complete Guide to Go Programming + Hexagonal Architecture in Go My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools Me: xgabriel.com | GitHub You retrieve the top 10 chunks, paste them into the prompt, and send it to the model. Each chunk is 400 tokens. That is 4,000 tokens of context for a question whose answer...