3 ms·

Shameless plug: if you are looking for a simple, fast, fuzzy search engine that you want to host yourself, take a look at Typesense: https://github.com/typesens

Shameless plug: if you are looking for a simple, fast, fuzzy search engine that you want to host yourself, take a look at Typesense: https://github.com/typesense/typesense https://github.com/typesense/typesense

Antrikshy 8y ago
Only tangentially related, but... If you're looking for a front-end library for autocompletion, Twitter's typeahead.js is a nice one: https://github.com/twitter/typeahead.js https://github.com/twitter/typeahead.js If you want one that works seamlessly with your React setup, React Autosuggest is pretty neat: https://github.com/moroshko/react-autosuggest https://github.com/moroshko/react-autosuggest
- rawoke083600 8y ago
  only more less related... if you need to access any of the search servers on the internet... take a look at www.fibretiger.co.za for your fibre pricing ! :P
- vvoyer 8y ago
  Careful though because typeahead.js is not maintained at all even if not said clearly on the GitHub repo
jazoom 8y ago
That looks good. According to your FAQ the main disadvantage this has compared to Elasticsearch is not being able to scale horizontally. Have you considered using FoundationDB as a storage layer to match that feature? Disclaimer: I have no idea how to build a distributed search engine.
- karterk 8y ago
  I might not be 100% correct on this, but it seems like even Algolia keeps all records in a single host and uses the other 2 hosts for only high availability. Having said that, exploring a FoundationDB integration is definitely an interesting idea. However, quite a lot of use cases can be served perfectly well with a simple master+slave set-up, so my primary focus is on that until there is enough demand for horizontal scalability. For e.g. Typesense is not a great fit for things like log data that typically need large amounts of storage.

3 ms·

Shameless plug: if you are looking for a simple, fast, fuzzy search engine that you want to host yourself, take a look at Typesense: https://github.com/typesens

by karterk 8y ago

Antrikshy 8y ago
Only tangentially related, but... If you're looking for a front-end library for autocompletion, Twitter's typeahead.js is a nice one: https://github.com/twitter/typeahead.js https://github.com/twitter/typeahead.js If you want one that works seamlessly with your React setup, React Autosuggest is pretty neat: https://github.com/moroshko/react-autosuggest https://github.com/moroshko/react-autosuggest
- rawoke083600 8y ago
  only more less related... if you need to access any of the search servers on the internet... take a look at www.fibretiger.co.za for your fibre pricing ! :P
- vvoyer 8y ago
  Careful though because typeahead.js is not maintained at all even if not said clearly on the GitHub repo
jazoom 8y ago
That looks good. According to your FAQ the main disadvantage this has compared to Elasticsearch is not being able to scale horizontally. Have you considered using FoundationDB as a storage layer to match that feature? Disclaimer: I have no idea how to build a distributed search engine.
- karterk 8y ago
  I might not be 100% correct on this, but it seems like even Algolia keeps all records in a single host and uses the other 2 hosts for only high availability. Having said that, exploring a FoundationDB integration is definitely an interesting idea. However, quite a lot of use cases can be served perfectly well with a simple master+slave set-up, so my primary focus is on that until there is enough demand for horizontal scalability. For e.g. Typesense is not a great fit for things like log data that typically need large amounts of storage.