Proving It: Evaluating Enterprise AI Without a Trusted Answer Key
What happens when a customer asks us to prove our agent is accurate, sometimes with no answer key at all, and sometimes with one that turns out to be wrong.
Institutional Knowledge: Grounding an Answer Without Citing It
Some of the best answers draw on knowledge you don't want shown as an official source. Here's the feature we built for that, and the bug it exposed.
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.
Building a Scalable Ingestion Pipeline with Temporal (Part 2)
Heartbeats, cancellation, approval gates, scheduling, observability, and the operational patterns that made our Temporal ingestion pipeline easier to run.
Building a Scalable Ingestion Pipeline with Temporal (Part 1)
How we built a document ingestion system that handles massive sources using Temporal's workflow orchestration, and the design decisions that made it scale.
Agents Can Reason. They Still Can't Really Search.
Agents have a search problem across the whole stack: web search, RAG, tool discovery, skills/workflow loading, and even context compaction.
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.