rasa-sdk
rasa
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| rasa-sdk | rasa | |
|---|---|---|
| 1 | 15 | |
| 270 | 17,021 | |
| 2.2% | 1.6% | |
| 7.9 | 9.8 | |
| 1 day ago | 3 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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rasa-sdk
rasa
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RasaGPT: First headless LLM chatbot built on top of Rasa, Langchain and FastAPI
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.
Totally. Rasa (https://github.com/RasaHQ/rasa) is an open source chatbot platform.
It allows you to setup "Input Channels" e.g. slack telegram, and has an intents and response pipeline.
It leverages pre-LLM NLU models (NLTK, BERT, etc.) to score intents and based on that intent it will automate a pre-configured response.
My implementation allows you directly route (or fallback to) to GPT-3 or GPT-4 via Langchain document retrieval. So essentially this is an example of a knowledgebase customer support bot.
I hope that makes sense, let me know if not!
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I plan to build my own AI powered search engine for my portfolio. Do you know ones that are open-source?
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.
- How to Installing Rasa & Building Rasa Chatbot on an M1 Macbook.
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Show HN: Flex – transpile natural language to a programming language
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...
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Meet Jeanie - Your AI Powered Virtual Girlfriend - Beta
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”
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How to Create the Perfect README for Your Open Source Project
This example is sourced from RasaHQ
- Can anyone recommend a chatbot that isn't going to bankrupt me before I even start the business? How do they justify being so expensive? WTH.
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Building a Social Engineering Chatbot for Cyber Security Awareness
There is a python framework named Rasa, it s really easy and is open source. I use it at work. As for the frontend, you can use botfront ui. https://github.com/RasaHQ/rasa https://github.com/botfront/rasa-webchat
What are some alternatives?
ChatterBot - ChatterBot is a machine learning, conversational dialog engine for creating chat bots
opendialog - OpenDialog is a Conversational Experience Platform - the starting point for your own conversational applications.
tock - Tock, the open source conversational AI toolkit.
chatwoot - Open-source customer engagement suite, an alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬
botkit - Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.
botman - A framework agnostic PHP library to build chat bots
BotFramework-Composer - Dialog creation and management for Microsoft Bot Framework Applications
botfront - Enterprise-grade open source GUI platform for Rasa teams
reddit-karma-farming-bot - "Is karma really that important to you? Damn bro, you need a life" - YouTube Comment
spacy-models - 💫 Models for the spaCy Natural Language Processing (NLP) library
chatbot-with-algolia-answers - Chatbot with Algolia Answers and Dialogflow
airy - 💬 Open Source App Framework to build streaming apps with real-time data - 💎 Build real-time data pipelines and make real-time data universally accessible - 🤖 Join historical and real-time data in the stream to create smarter ML and AI applications. - ⚡ Standardize complex data ingestion and stream data to apps with pre-built connectors