#retrieval

Live, measured metrics for the hashtag #retrieval from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #retrieval

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$51.02/ year · 9-character #name
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1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 04:30 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
1
07-26
0
07-27

1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 04:30 UTC
#retrievalpractice
0 uses · 0 accounts / 7d
#retrievalaugmentedgeneration
1 uses · 1 accounts / 7d
#retrievalaugmented_generation
1 uses · 1 accounts / 7d
#contextual_retrieval
0 uses · 0 accounts / 7d
#retrieval_systems
0 uses · 0 accounts / 7d
#retrieval_augmented_generation
0 uses · 0 accounts / 7d
#information_retrieval
0 uses · 0 accounts / 7d
#SoulRetrieval
0 uses · 0 accounts / 7d
#retrievalpractics
0 uses · 0 accounts / 7d
#DataAugmentedRetrieval
0 uses · 0 accounts / 7d
#retrievalaugmentationgeneration
0 uses · 0 accounts / 7d
#why_was_it_always_recipe_retrieval
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 04:30 UTC

Everything below is measured over the latest 40 public posts (spanning ~2463 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (29) · Russian (10) · German (1)

Avg boosts / post: 0.1

Top of the latest posts

  • This is a handy list for comparing the features of vector databases (holy mole there are a lot of them), including year of launch, opensource-ness, licences, and implementation language: https://superlinked.com/vector-db-comparison #vectors

    Judith van Stegeren@jd7h♥ 1↻ 02026-04-23 11:52 UTCView post →

  • Avi Chawla (@_avichawla) 일반 RAG와 Graph RAG의 차이를 시각적으로 설명한다. 전기처럼 여러 장에 걸쳐 분산된 인물의 업적을 요약해야 하는 경우, 일반 RAG의 top-k 청크 검색은 문서 전체의 관계·맥락을 놓칠 수 있다. Graph RAG는 엔터티와 관계를 그래프로 연결해 다단계 정보 탐색 및 전역적 요약에 더 적합하다는 점을 다룬다. https://x.com/_avichawla/status/2

    ainews@[email protected]♥ 0↻ 12026-07-26 22:52 UTCView post →

  • Akshay (@akshay_pachaar) AI 엔지니어를 위한 RAG 아키텍처 8가지를 사용 사례와 함께 정리한 스레드다. 공개된 Naive RAG는 질의 임베딩과 문서 임베딩 간 벡터 유사도로 문서를 검색하는 기본 방식으로, 단순한 사실 질의와 직접적인 의미 매칭에 적합하다고 설명한다. RAG 시스템 설계 시 검색 전략 선택의 실무적 참고 자료다. https://x.com/akshay_pachaar/status/20788

    ainews@[email protected]♥ 0↻ 02026-07-19 13:51 UTCView post →

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/retrieval