#bm25

Live, measured metrics for the hashtag #bm25 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 #bm25

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.

$2,449.80/ year · 4-character #name
Claim #bm25$2,449.80/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
35
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 35
0
Avg reactions / post
Mastodon · last 35

Day-by-day usage

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

0 uses by 0 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 23:26 UTC

No related tags with measured usage found for #bm25.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 23:26 UTC

Everything below is measured over the latest 35 public posts (spanning ~22487 hours).

Posting hours (UTC) — busiest: 06:00

00:0012:0023:00

Languages: Russian (16) · English (14) · Chinese (Taiwan) (2) · Japanese (2) · German (1)

Avg boosts / post: 0.5

Top of the latest posts

  • I have noticed that a while ago, several new Postgres extensions regarding text search have surfaced that all use BM25. Obviously if you read their documentation each one is the ultimate solution to all text search problems. Is anyone aware

    Truls (Klarname)@[email protected]132026-07-02 15:55 UTCView post →
  • Contextual Retrieval: техника, которая чинит главную проблему RAG за 50 центов на тысячу чанков Классический RAG часто ошибается не из‑за слабой embedding‑модели, а потому что чанки теряют связь с исходным документом. Разбираем, как Context

    Habr@[email protected]002026-07-06 11:22 UTCView post →
  • Avi Chawla (@_avichawla) 벡터 검색이 항상 정답은 아니라는 점을 강조하며, 학습이나 임베딩 없이도 Elasticsearch, OpenSearch 등 실서비스 검색을 오래 지탱해온 BM25의 가치를 짚습니다. LLM/RAG 시스템에서도 하이브리드 검색 설계 관점에서 참고할 만한 내용입니다. https://x.com/_avichawla/status/2068657496936616314 #search #bm25 #

    ainews@[email protected]002026-06-22 05:48 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/bm25