rasa NLU vs Swiftype: What are the differences?
Developers describe rasa NLU as "Open source, drop-in replacement for NLP tools like wit.ai". rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries. On the other hand, Swiftype is detailed as "Powerful and scalable search for any application or website". Swiftype is the easiest way to add great search to your website or mobile application.
rasa NLU belongs to "NLP / Sentiment Analysis" category of the tech stack, while Swiftype can be primarily classified under "Search as a Service".
Some of the features offered by rasa NLU are:
- open source
On the other hand, Swiftype provides the following key features:
- Autocomplete- our search engines come with autocomplete built-in
- Detailed Analytics- Our built-in search analytics give you real-time insight into what your users are looking for.
rasa NLU is an open source tool with 5.77K GitHub stars and 1.7K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.