@convex-dev/rag

@convex-dev/rag is a Convex component for retrieval-augmented generation. It chunks and embeds documents, then runs vector-based semantic search to build context for LLMs. It supports adding or replacing content, organizing content into namespaces for per-user search, custom filtering with indexed fields, importance weighting, retrieving surrounding chunks for context, and migrating content or namespaces without disruption.

Appearances
1
Categories
1
First seen
26 October 2026
Latest
26 October 2026
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Recorded measurements

Published observations only. Missing dates are not zero, and points do not establish what happened between observations. Each source and unit is shown separately.

npm / PyPI packages · weekly downloads

npm / PyPI packages · 2 dated measurements

Rolling seven-day download totals recorded on these observation dates; do not add the points or treat their difference as new downloads.

Latest value shown: 66,525 weekly downloads ·

Higher values appear higher on the chart. The scale covers the recorded values.

npm / PyPI packages: weekly downloads recorded measurements2 dated points, 18 Oct 2026 to 24 Oct 2026. Values range from 58,316 to 66,525 weekly downloads. Higher values appear higher. Open the exact values and published evidence below for the data table. Dots are not connected; missing dates are not zero.18 Oct 2026: 58,316 weekly downloads24 Oct 2026: 66,525 weekly downloads
View 2 exact dated values and published evidence
Exact values and their published evidence
Measured onValue (weekly downloads)Published in
58,316
66,525

“Measured on” uses the original observation date. “Published in” links to the edition that reported it; the dates may differ.

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Appearance history

1 appearance
This page records every appearance of the same entity in the reviewed RiseFinder exports. Rankings keep the original category, period and measurement direction.

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