zilliztech

akcio

Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.

Community Project Python
258 stars via github-search
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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.

258258
2026-08-09 — 258 stars2026-08-10 — 258 stars2026-08-11 — 258 stars2026-08-12 — 258 stars2026-08-13 — 258 stars2026-08-14 — 258 stars
2026-08-096 stored snapshots2026-08-14
Stars258our 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 zilliztech/akcio 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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zilliztech/akcio 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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