EngineeringMay 12, 2026
Why vector search alone fails at enterprise scale
Embedding similarity collapses when context spans dozens of stores. We break down how graph-augmented retrieval recovers the relationships pure vectors lose.
Blog
Deep-dives from the DeepRAGs team
Research, engineering, and product notes on building retrieval that reasons across the entire enterprise.
ResearchApr 28, 2026
Token-Trimmer: cutting RAG cost by 60% without losing recall
A look at the relevance-aware compression layer that prunes context windows before they ever reach the model.
ProductApr 03, 2026
Inside the Federated Router: querying 100+ heterogeneous sources
How DeepRAGs plans, fans out, and reconciles retrieval across SQL, object storage, wikis, and code — in a single request.