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vcaesar
riot
Go2017–2022
vcaesar / riot

riot

Go Open Source, Distributed, Simple and fastest efficient text/vector Search Engine

Systems & InfrastructureSearch & Information Retrieval
Explore on GitHubRead Hacker News discussions
5Distinct people
6Mentions
0Explicit recommenders
6.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Go Open Source, Distributed, Simple and fastest efficient text/vector Search Engine

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year6 dated mentions

Observed mentions: 2017-10-23 16:02:19 UTC to 2022-10-24 14:36:37 UTC.

012342017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 4 mentions; 3 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC431
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101

What Hacker News says

6 sources
hardwaresofton·Oct 24, 2022
Oh! Damn it I forgot about manticore -- I had seen it before but forgot to include it. Eventually all of these projects will be highlighted on Awesome F/OSS (https://awsmfoss.com), but for now I'm just going to dump my bookmarks here for other people, since I'm leaving awesome projects out: Search Engines AWS OpenSearch https://github.com/opensearch-project/OpenSearch https://github.com/opensearch-project/OpenSearch-Dashboards https://github.com/opensearch-project/perftop https://github.com/go-ego/riot https://groonga.org/ https://github.com/groonga/groonga https://github.com/meilisearch/MeiliSearch https://github.com/mosuka/bayard https://github.com/nezaboodka/nevod https://github.com/searx/searx https://github.com/stryku/okon https://github.com/toshi-search/Toshi https://github.com/typesense/typesense https://github.com/valeriansaliou/s
Read the rest
onic Algolia https://github.com/marconi1992/algolite https://quickwit.io/ https://github.com/quickwit-inc/quickwit https://docs.meilisearch.com/ https://github.com/prabhatsharma/zinc phalanx https://github.com/blugelabs/bluge https://github.com/mosuka/phalanx https://github.com/mosuka/blast ManticoreSearch https://github.com/manticoresoftware/manticoresearch https://github.com/manticoresoftware/docker https://manticoresearch.com/blog/manticore-alternative-to-el... https://manticoresearch.com/ https://manual.manticoresearch.com/Introduction https://forum.manticoresearch.com/t/manticore-search-cheatsh... https://forum.manticoresearch.com/ Whoosh https://whoosh.readthedocs.io/en/latest/ https://pypi.org/project/Whoosh/ lyra https://github.com/nearform/lyra https://nearform.github.io/lyra/ https://github.com/LyraSearch/lyra https://lyrasearch.io/ flexsearch https://github.com/nextapps-de/flexsearch#performance-benchm... https://pagefind.app/docs/ Lucene https://github.com/apache/lucene https://lucene.apache.org/ ZincSearch https://zincsearch.com/ Solr https://solr.apache.org/ https://solr.apache.org/operator/ https://solr.apache.org/guide/solr/latest/getting-started/so... https://github.com/apache/solr https://solr.apache.org/guide/solr/latest/deployment-guide/s... Konnu https://gitlab.com/shadowislord/konnu Quickwit QuickWit + Clickhouse https://clickhouse.com/docs/en/guides/developer/full-text-se... https://clickhouse.com/docs/en/sql-reference/functions/strin... There is no way I can get to running all of these (this project was supposed to be quick!!), but I will run the ones I noted earlier, and probably manticore too since it was high on my list since it's quite polished looking.
In Sonic: Fast, lightweight and schema-less search backend
wolfgarbe·Oct 23, 2017
It seems the whole index is kept in RAM. Thus the index size is limited by the amount of RAM available. This explains the impressive indexing and search performance (1M blog 500M data 28 seconds index finished, 1.65 ms search response time, 19K search QPS) The Persistent storage data is stored to the hard disk solely when the program closes. The data is then restored from the hard disk when the program restarts ( https://github.com/go-ego/riot/blob/master/docs/zh/persisten... ). This is a limited approach compared to Lucene/Solr/Elasticsearch LSM which handle high-volume inserts to its indexes with a log-structured merge-tree (LSM) and where the index size is only limited by the available hard disk space.
In Riot – Full-text search engine in Go

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