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RasaGPT
RasaGPTRasaGPT
Models & InferenceWhat is RasaGPT?
It is a headless LLM chatbot platform built on top of Rasa and Langchain. It is a boilerplate and a reference implementation of Rasa and Telegram utilizing an LLM library like Langchain for indexing, retrieval and context injection.
RasaGPT is a tool in the Models & Inference category of a tech stack.
Key Features
Document versioning and automatic “re-training” implemented on uploadCustomize your own async end-points and database models via FastAPI and SQLModelFull API documentation via Swagger and Redoc includedPGAdmin included so you can browse your database
RasaGPT Pros & Cons
Pros of RasaGPT
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Cons of RasaGPT
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RasaGPT Alternatives & Comparisons
What are some alternatives to RasaGPT?
OpenAI
Creating safe artificial general intelligence that benefits all of humanity. Our work to create safe and beneficial AI requires a deep understanding of the potential risks and benefits, as well as careful consideration of the impact.
LangChain
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
ChatGPT
It is a trained model which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
