chatwoot VS rasa

3. Chatwoot - 14.8K ⭐️

Usually these services are plug and play: you insert a snippet of JavaScript and it just works. If you want an open-source solution you can self-host, there's Chatwoot: https://github.com/chatwoot/chatwoot

Looks good. Also see chatwoot (similar marketing automation tool that has an open source offering) https://github.com/chatwoot/chatwoot

Check out Chatwoot: https://github.com/chatwoot/chatwoot

Chatwoot

Its Open Source and selfhosted, so maybe a match? https://github.com/chatwoot/chatwoot

This might be overkill but I use chatwoot, has great documentation for self-hosting.

Kniv>Some say I'd have to force a rest day since I had the other day, but after 5s of googling I've seen few promising results, like chatwoot.

Look at ChatWoot[1] too. It has a an OpenSource[2] self-host option. They claim to be a customer engagement suite, an alternative to Intercom, Zendesk, Salesforce Service Cloud etc. I have no relationship with them.

1. https://www.chatwoot.com/

2. https://github.com/chatwoot/chatwoot

Show HN: Open-Source Intercom with Help Center\ (10 comments)

Support Rasa on GitHub ⭐

It itself is not a GPT. It is a a framework of a framework project built on top of Rasa (https://github.com/RasaHQ/rasa) and Langchain which by default uses gpt3.5-turbo (change it in the .env file) or any foundation model you wish.

There was already a GitHub issue https://github.com/RasaHQ/rasa/issues/11084 but it seems like there was no solution provided.

Rasa - also an open source platform. You can use it to build chatbots that are more in line with customer service and sales. Reading that, it’s kind of a big yikes for people under this kind of job knowing you can automate a part of their job via a chatbot. I think they also have a Pro version which is an extension that has additional analytics and probably more security features. I probably will check out the Open source one first and maybe ask about what the Pro version is.

At the moment it can recognise the type of statements in the training data set [1] and transpile them to Python, Java or C++ using the mappings defined here [2].

This is very different from how Codex/Autopilot work as it is trained using an NLU framework [3] which is usually used for training chatbots.

[1]: https://github.com/Flex-lang/transpiler/tree/master/transpil...

[2]: https://github.com/Flex-lang/transpiler/tree/master/transpil...

[3]: https://github.com/RasaHQ/rasa

Check out Rasa

It looks like it is built upon a Chatbot platform called “messengerx.io”, which itself seems to be built upon an open-source/machine-learning framework for voice/text conversations called “Rasa”

Use Python and use the Rasa framework to make a chat bot. https://rasa.com/docs/

This example is sourced from RasaHQ