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Rasa.ai looks like a very interesting framework and seems to address main weak point of the current hosted NLP API solutions
We've been working for a while with scapy which makes a good work for us till now.
Should we consider switching to rasa.ai and for what reasons? I mean it seems like your framework uses scapy a lot, for example your tokenizer uses scapy's one (or mitie's) so what are use cases you aimed to simplify/enhance and how your framework does it better than the backend libraries it wraps?
The text was updated successfully, but these errors were encountered:
GitHub issues are where we discuss bugs, implementation details, and feature requests. Your question would be more suited to Hacker News, https://news.ycombinator.com/item?id=13205039
Hey,
Rasa.ai looks like a very interesting framework and seems to address main weak point of the current hosted NLP API solutions
We've been working for a while with scapy which makes a good work for us till now.
Should we consider switching to rasa.ai and for what reasons? I mean it seems like your framework uses scapy a lot, for example your tokenizer uses scapy's one (or mitie's) so what are use cases you aimed to simplify/enhance and how your framework does it better than the backend libraries it wraps?
The text was updated successfully, but these errors were encountered: