manticoresearch

GPLv3 https://github.com/manticoresoftware/manticoresearch/blob/13...

I don't believe there is just one answer to that, because it really depends on your needs, existing stack, and skillset. Disclaimer aside, I've heard very positive things about the search that ships with PostgreSQL, and similarly positive things for the few search extensions one can add (assuming extensions are available where you're running PG) https://github.com/quickwit-oss/tantivy#features seems to be a good starting place if you want to embed search, and its https://github.com/quickwit-oss/quickwit friend comes up a lot, but be sure to bear its AGPL license in mind Toshi is one of the ones which is striving for ES compatibility at the search level, making it a drop-in replacement https://github.com/toshi-search/Toshi#example-queries although last time I played with it, they were QUITE A WAYS away, depending on how deep one is in the

> We filtered out PISA Search and Manticore because neither of them offers search-as-you-type and facet search features Manticore does support facet search and it's quite powerful in Manticore: - docs - https://manual.manticoresearch.com/Searching/Faceted_search#... - interactive course - https://play.manticoresearch.com/faceting/ Search-as-you-type depends more on the client, not on the backend. However, Manticore provides the autocomplete and fuzzy features (both in beta stage though). More info here https://github.com/manticoresoftware/manticoresearch/issues/...

Here's a sampling of stuff I've semi-recently encountered on Github that all spy on you by default. For some, it's undocumented, for others it's a minor subsection in the docs. (Some of them are source-available not free, I didn't keep track as I collected the URLs.) https://github.com/zed-industries/zed https://github.com/microsoft/vscode https://github.com/keystonejs/keystone https://github.com/meilisearch/meilisearch https://github.com/hasura/graphql-engine https://github.com/manticoresoftware/manticoresearch/ https://github.com/coder/code-server https://github.com/loft-sh/devpod https://github.com/quickwit-oss/quickwit https://github.com/rilldata/rill-developer/ https://github.com/hocus-dev/hocus https://github.com/firezone/firezone Here's a write-up of how bad it gets -- it's pretty obnoxious: https://www.roboleary.net/tools/2022/04/

MySQL's full-text ranking capabilities are quite limited and AFAIK full-text wasn't a priority for them lately. The related article is "Rankings with InnoDB Full-Text Search" [1] If it works for you - great. If you need more flexibility in terms of data tokenization, matching and ranking you can consider Manticore Search [1] instead of Elasticsearch since it's a continuation (a fork made in 2017) of the Sphinx search engine mentioned in the article on mysql.com and has a better integration with MySQL than Elasticsearch (e.g. you can use Linux mysql client or any programming language mysql connector to make queries to Manticore). [1] https://dev.mysql.com/blog-archive/rankings-with-innodb-full... [2] https://github.com/manticoresoftware/manticoresearch

It's not open source since 2017. The open source fork is https://github.com/manticoresoftware/manticoresearch

Maybe this alternative to ES could help with memory usage? https://github.com/manticoresoftware/manticoresearch https://news.ycombinator.com/item?id=34741018

I don't see anywhere where they claim that it's faster simply because it's written in C++. They do mention that they make use of C++ to add low level optimizations that make queries faster and the memory imprint smaller, but any claims about performance in the readme are linked to benchmarks to back up their claims https://github.com/manticoresoftware/manticoresearch/ https://db-benchmarks.com/test-taxi/#manticore-search-vs-ela...

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

> It's interesting to note that Elasticsearch and Opensearch are general purpose search engine, Solr as well. They are all powered by Lucene, the popular and performant search engine library. Another search engine which can be considered general, is not based on Lucene and is not less powerful than Elasticsearch/Solr is Manticore Search [1] [1]: https://github.com/manticoresoftware/manticoresearch > I would love to see some benchmarks by category :) I'd love too. We started this work on db-benchmarks [2] , hopefully we'll have resources to continue it. Contributions are very welcome. It's 100% opensource [3] [2]: https://db-benchmarks.com/ [3]: https://github.com/db-benchmarks/db-benchmarks

(disclaimer: I'm one of the cofounder of Quickwit.io, we are doing log search) (edited to add vector search category and add manticore) When looking at OSS search projects, it's nice to have a rough ideas of the different use cases, here is the list I have in mind: - user facing search (think algolia): elasticsearch[1]/opensearch[2], meilisearch[3], typesense[4] - enterprise search: elasticsearch/opensearch - log search: elasticsearch/opensearch, loki[5], quickwit[6], zincsearch[7] - vector search: Milvus[8], Qdrant[9], Vald[10] Weaviate[11] Vespa.ai[12] is great but I don't really know in which category to put them, user facing and enterprise search seems to work well with them. It's interesting to note that Elasticsearch and Opensearch are general purpose search engine, Solr as well. They are all powered by Lucene, the popular and per