Under the Hood of AI

The whole library should never go in a prompt

You cannot paste every document, book, and file into a single request. The context window is finite, and attention wains the more it covers. Every token also costs money and introduces latency. So how do we feed enormous amounts of data to an LLM without drowning it? That question drives everything in this session: retrieval, tools, MCP, and better prompting.