search-engines

if not using searx to accomplish the same thing..
https://gprivate.com/
not private.. but a drop-in replacement if you ever need to use google search

list of search engines as a reference for anyone to use.
some info is in turkish.

https://github.com/oyuncunettv/public-domain-search-engine-db

https://oyuncunettv.github.io/public-domain-search-engine-db/database.json

https://oyuncunettv.github.io/public-domain-search-engine-db/search.html

metasearch proxy. probably inspired by searX

I want a search engine that indexes and displays only the sites I ask it to (my bookmarks). I often come across insanely good articles and resources, but because I don't really need them at that moment, I forget about them and can't find them when I need them. Maybe there is a search engine at which you can throw good websites you find, and then use if you think you came across it before. (All stored localy)

Currently I am just storing everything into a Notion database, but then I either have to write down what that website is, or I will never find it.

Thanks and have a great day.

searchengine for onion sites

Konnu is a peer to peer full-text search engine written in Rust.

Konnu indexes documents and stores them in a peer-to-peer network, making them searchable without requiring a server.

Fundamentally, Konnu is built around two ideas:.

• Any text can be represented as a dense vector.

• A vector can be encoded into one or more hashes which can be published into a DHT.

This makes it possible to search the network for data.

Presearch is dedicated to creating significant value for marketers who would like to reach Presearch users. Advertisers can stake their PRE to a keyword, and whichever advertiser stakes the most tokens will have its ads displayed when a user searches on the term selected. Advertisers confer the most external value on PRE, so their success is very important to the ecosystem.
you earn Presearch reward tokens when you search, when you operate a node, and when you refer others to join Presearch.
#crypto #cryptocurrency

I am now supporting the PREsearch search engine with an small node at home. 😎

Presearch is a decentralized search engine powered by the community. Search privately, receive better results and get rewarded with the Presearch decentralized search engine, powered by blockchain technology. https://www.presearch.io/

2022-06-07T06:43:20.052Z info: presearch-node - v1.0.2 2022-06-07T06:43:20.053Z info: [gateway.presearch.com] Connecting.. 2022-06-07T06:43:21.519Z info: Saved public key! 2022-06-07T06:43:21.523Z info: Saved private key! 2022-06-07T06:43:24.040Z info: [eu-de-1.gateway.presearch.com] Connecting.. 2022-06-07T06:43:24.673Z info: Node is listening for searches...

Isn't it possible to "find" the most valuable website in the web with the help of a well mixed community? I am thinking if an small browser add-on which can share the basic url of a visited websites with a website scrapper. The scrapper can then index the whole website with its sub pages. The add-on could be installed independently by users which would like to strengthen the network.

Besides setting up an own search index, one could try to export search results from #Google and Bing as a ramp up help, which are similar to #startpage and #duckduckgo. I mean I am no search engine expert, but is there so much more magic?

Quickwit is a distributed search engine built from the ground up to offer cost-efficiency and high reliability. By mere mortals for mere mortals, Quickwit's architecture is as simple as possible 1.

Quickwit is written in Rust and built on top of the mighty tantivy library. We designed it to index big datasets.

Why Quickwit?

Quickwit is born from the idea that today's search engines are hard to manage and uneconomical when dealing with large datasets and a low QPS2 rate. Its benefits are most apparent in a multitenancy or a multi-index setting.

Quickwit allows true decoupled compute and storage. We designed it to search straight from object storage like AWS S3 in a stateless manner.

Imagine hosting an arbitrary amount of indices on S3 for $25/TB.month and querying them with the same pool of search servers and with a subsecond latency.

Not only is Quickwit more cost-efficient, but search clusters are also easier to operate. One can add or remove search instances in seconds. You can also effortlessly index a massive amount of historical data using your favorite batch technology. Last but not least, Multi-tenant search is now cheap and painless.

like solr.. in-browser using js

privacy conscious

An "open-source" document search engine with automated crawling, OCR, tagging and instant full-text search

https://gitlab.com/infinitysearch/infinity-decentralized