# Dynamic chunking for RAG: building context infrastructure that adapts

DevFeed: [Dynamic chunking for RAG: building context infrastructure that adapts](<https://devfeed.tech/articles/dynamic-chunking-for-rag-building-context-infrastructure-that-adapts-4799.md>)

Original publisher: [Read original article](<https://redis.io/blog/dynamic-chunking-rag-real-time-optimization/>)

Author: Jeff Mills

Published: 2026-07-11T00:00:00Z

Content type: tutorial

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [embedding](<https://devfeed.tech/tags/embedding.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [llm](<https://devfeed.tech/tags/llm.md>), [rag](<https://devfeed.tech/tags/rag.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [retrieval-augmented-generation-rag](<https://devfeed.tech/tags/retrieval-augmented-generation-rag.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

A guide to dynamic chunking for RAG systems. It explains how fixed chunk sizes can limit retrieval quality, compares chunking tradeoffs, and discusses adapting retrieval as context changes during a session.

## Source excerpt

Most teams pick a chunk size once and never touch it again. Copy the settings a tutorial used (usually 512-token chunks with 50 tokens of overlap between them), and ship it. Then the corpus grows, the queries get stranger, and that early choice quietl...