retrieval augmented generation Archives - Retrieval Augmented Generative Engine

retrieval augmented generation

RAGE ingest verification: 197 equals 197 carved on a slab under a green and violet aurora, captioned the count agrees with itself — the predicted chunk count matching the delivered chunk count exactly

197 chunks, zero reconnects: what happened when I actually ran the ingest

29/08/2026

RAGE ingest results: 41 documents, 197 chunks, zero reconnects — and the two tunnel failures that taught more than the success did.

RAGE, the Retrieval Augmented Generative Engine: structured databases, unstructured documents, APIs and live web content feeding a turbine that outputs real-time insight, generative reports, predictive forecasts and strategic decisions

What it costs to remember: the RAGE ingestion path, and a map of the whole project

29/08/2026

How RAGE ingests a corpus into pgvectorscale: 515s down to 0.49s on re-ingest, DiskANN over 48,800 bge-m3 chunks, and a map of the whole RAGE project.

RAGE, the Retrieval Augmented Generative Engine: structured databases, unstructured documents, APIs and live web content feeding a turbine that outputs real-time insight, generative reports, predictive forecasts and strategic decisions

RAGE: A Game-Changer for Business Intelligence

11/03/2025

RAGE turns static BI into real-time intelligence: retrieval across databases, documents, APIs and the live web, plus generative reports and forecasts.