
Massive Token Context Reduction (The 80% Drop) and how @FalkorDB x $FLKR could save OpenAI x Anthropic $14B in expenses - The Problem: In agentic workflows (like Anthropic’s Claude Code or OpenAI's Advanced Voice/Assistant APIs), apps constantly feed thousands of historical lines of data into the model to keep it on track. This creates massive token bloat. - FalkorDB's Breakthrough: Because FalkorDB maps relationships as a knowledge graph, it provides hyper-precise context. Industry benchmarks show that structured retrieval via GraphRAG can reduce the number of context tokens fed to an LLM by up to 80%. This is pretty insane stuff and I’m expecting every single AI company to adopt this tech in the following years. 1.6M market cap

















