token efficiency

Articles about token efficiency

1. Article · AI Agents

   Mastering Token Efficiency in Enterprise LLM Pipelines: A Multi-Agent Approach

   Build a token-efficient enterprise RAG pipeline using LangGraph, Neo4j Graph RAG, context compression, and structured LLM output.

   Tuhin PaulOct 22,6301,000
2. Article · AI Agents

   AI Coding Agent Cache Efficiency: Measuring Context Compaction and Model Switching

   Measure AI coding agent cache efficiency by analyzing context compaction, model switching, cache reuse, latency, token usage, and performance across agent workloads.

   Aarav PatelAug 205801,000
3. Article · AI Agents

   TOON: Token Oriented Object Notation for Efficient LLM Prompts

   Discover TOON, a token-efficient data format designed for LLM prompts. Reduce costs and improve reliability compared to JSON. Ideal for structured data at scale.

   Nabaraj GhimireFeb 51,3431,000
4. Article · Generative AI

   Token-Efficient RAG: Using Query Intent to Reduce Cost Without Losing Accuracy

   Optimize RAG by tailoring retrieved document count to query intent (Generic, Contextual, Specific). Reduce token usage, maintain accuracy, and cut costs.

   Varun SetiaDec 29, 20254,4961,000
   
5. Article · JSON

   Is JSON Dead? Meet TOON – The Token-Efficient Alternative for LLM Prompts

   Learn about TOON (Token-Oriented Object Notation), an emerging data format designed to make large language model (LLM) interactions faster, cheaper, and more readable by reducing token count compared to traditional JSON. Discover why TOON is gaining attention and how to use it for optimizing AI-powered applications.

   Deepak TewatiaNov 6, 20258,3131,000