# Preloading Knowledge Into a Model Instead of Retrieving It

DevFeed: [Preloading Knowledge Into a Model Instead of Retrieving It](<https://devfeed.tech/articles/preloading-knowledge-into-a-model-instead-of-retrieving-it-18241.md>)

Original publisher: [Read original article](<https://blog.dailydoseofds.com/p/preloading-knowledge-into-a-model>)

Author: Avi Chawla

Published: 2026-08-24T17:13:39Z

Content type: tutorial

Language: en

Sources: [Daily Dose of Data Science](<https://devfeed.tech/sources/daily-dose-of-data-science.md>)

Topics: [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Caching](<https://devfeed.tech/topics/caching.md>), [long-context](<https://devfeed.tech/topics/long-context.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Self-hosted](<https://devfeed.tech/topics/self-hosted.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [GPU](<https://devfeed.tech/topics/gpu.md>)

Tags: [caching](<https://devfeed.tech/tags/caching.md>), [compute](<https://devfeed.tech/tags/compute.md>), [context-window](<https://devfeed.tech/tags/context-window.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [inference](<https://devfeed.tech/tags/inference.md>), [rag](<https://devfeed.tech/tags/rag.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [self-hosted](<https://devfeed.tech/tags/self-hosted.md>), [storage](<https://devfeed.tech/tags/storage.md>)

## AI overview

This article introduces a three-part RAG Systems course about preloading a knowledge corpus into a model's stored KV cache so subsequent queries can skip retrieval, chunking, and embedding. It covers naive, compressed, modular, and trained preloading, along with context limits, provider and self-hosted economics, cache compression constraints, and production deployment.

## Source excerpt

How to process your corpus once, skip retrieval entirely, and serve every query from a stored cache. Three parts covering the full spectrum.