How do LLM systems manage context compression and summarization at scale?

Context compression systems summarize and condense information so LLMs can maintain long-term reasoning within limited context windows.

Even with large context windows, enterprise LLM systems eventually encounter scaling limits when processing extremely long conversations, documents, or workflows.

Context compression addresses this problem by:

Common strategies include:

Generating layered summaries recursively.

Retaining only high-information embeddings.

3.…