Four Generations of the Rapidflare Agent Harness - Spark, Flame, Blaze and Forge
How the Rapidflare agent harness has evolved across four generations — from a simple RAG pipeline in 2023 to a long-running, broader, deeper harness in 2026.
The Rapidflare Fire Shield, Part II: Beyond the LLM
Part II of the Rapidflare Fire Shield series — WAF, reCAPTCHA, edge controls, human review, monitoring, and external pen-test layers around our AI pipeline.
The Rapidflare Fire Shield, Part I: The AI Safety Filter
Part I of the Rapidflare Fire Shield series — the multi-layer AI safety filter that classifies every inbound message before retrieval and answer generation.
How We Built LLM-Powered Autocomplete for AI Agents
How Rapidflare engineered LLM-powered autocomplete for AI agents, delivering suggestions in under 300ms with three-layer personalization.
Introducing the Electronics Industry’s First AI Agent with Visual Reasoning
Rapidflare introduces the electronics industry’s first visual-reasoning AI agent, turning schematics, diagrams, and technical visuals into searchable knowledge with diagram-grounded answers for engineering, support, sales, and marketing teams.
Introducing Inline Citations: Traceable AI for Technical Industries
Rapidflare Agents now support inline citations, enabling traceable, verifiable AI answers grounded in datasheets, manuals, and standards documents. Built for technical industries where accuracy and compliance matter.
A Practical Guide to Recall, Precision, and NDCG
Step-by-step guide to optimizing RAG retrieval - improve recall, precision, and ranking for LLMs.
Accuracy: The Key to Effective AI-Powered Technical Sales
In technical sales, precision and clarity form the basis of trust. Realizing those values in AI agents means building on structured expertise, explainable reasoning, and continuous validation, ensuring accuracy and reliability where every detail matters.
Task-Specific AI vs Generic LLMs: Why Precision and Reliability Matter
Discover why task-specific AI outperforms generic LLMs in precision, reliability, and context for mission-critical industries.