solr VS manticoresearch

Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research.

Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/

Solr https://solr.apache.org/

if so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff.

Note, you need to do it in the root folder of a clone from https://github.com/manticoresoftware/manticoresearch

Interesting, how does it compare to Mantico search?

Where Manticore Search? https://manticoresearch.com/

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

I haven't looked at the code, but I've seen https://github.com/manticoresoftware/manticoresearch popping up in a few places. Might be worth looking at. It would be great to have a faster drop-in replacement for Elasticsearch that's not written in Java. They blogged about it here: https://manticoresearch.com/blog/manticore-alternative-to-elasticsearch/

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...

contributors