Why evaluation comes before the agent: how we measure what "good" looks like when it comes to AI for product intelligence, and how we meet your organization wherever you are in the transformation journey.
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.
