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 Chatbots & Assistants category of a tech stack.
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What are some alternatives to RasaGPT?
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.
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
It allows you to run open-source large language models, such as Llama 2, locally.
LangChain, ngrok, SwaggerHub, WhatsApp, Slack and 5 more are some of the popular tools that integrate with RasaGPT. Here's a list of all 10 tools that integrate with RasaGPT.