#agentic-rag News & Analysis

Tool-Schema Compression Enables Agentic RAG Under Constrained Context Budgets

Researchers demonstrate that tool-schema compression reduces token consumption by 44-50%, enabling large language model agents to function under tight context constraints. Testing across 14 models shows compressed schemas restore RAG functionality with +20.5 percentage point exact-match improvements at 8K tokens, while frontier models can now handle 800+ tools instead of ~494.