Azure

GPT-RAG

Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

Trusted Project Python
1.2k stars via github-search
View on GitHub

Growth we measured

6 daily star snapshots stored by whatstrending.ai, 2026-08-09 to 2026-08-14. GitHub shows today's number; this is the movement behind it.

1,1661,165
2026-08-09 — 1,166 stars2026-08-10 — 1,165 stars2026-08-11 — 1,166 stars2026-08-12 — 1,166 stars2026-08-13 — 1,166 stars2026-08-14 — 1,166 stars
2026-08-096 stored snapshots2026-08-14
Stars1,166our snapshot on 2026-08-14
7-day paceno data yettracked for 5 days so far
30-day paceno data yettracked for 5 days so far
Trajectorynot enough historyneeds a short and a long measured window
First recorded2026-08-096 snapshots across 5 days

How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 6 snapshots for Azure/GPT-RAG between 2026-08-09 and 2026-08-14. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.

For the maintainer

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Azure/GPT-RAG is in the whatstrending.ai tracked index, so this badge already resolves. It is free, needs no account, and updates itself: the rank is recomputed from our stored daily snapshots and the image is re-fetched a few times a day. Clicking it lands on this page, which shows the star history we measured.

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