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.
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.

Heartbeats, cancellation, approval gates, scheduling, observability, and the operational patterns that made our Temporal ingestion pipeline easier to run.

How we built a document ingestion system that handles massive sources using Temporal's workflow orchestration, and the design decisions that made it scale.

Part II of the Rapidflare Fire Shield series — WAF, reCAPTCHA, edge controls, human review, monitoring, and external pen-test layers around our AI pipeline.

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 Rapidflare engineered LLM-powered autocomplete for AI agents, delivering suggestions in under 300ms with three-layer personalization.

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.

Learn how Rapidflare built a scalable, secure Discord integration using webhooks, strong access controls, and native UX for large developer communities.

Step-by-step guide to optimizing RAG retrieval - improve recall, precision, and ranking for LLMs.