A 2-Million-Token Context Window Is Not a Data Architecture
Ash Srivastava - August 27, 2026
A 2-million-token context window isn't a substitute for good data architecture.
Dumping an entire database into an LLM prompt doesn't solve search.
It just makes responses slower, spikes your latency, and causes the model to miss key details in the noise.
You can't brute-force enterprise data scale with larger context windows.
Enterprise data will always outpace context limits.
The real job of data engineering in the AI era isn't feeding the model more data - it's filtering out the noise so it gets the exact right context.
First shared on LinkedIn.