LangGraph vs RasaGPT
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner. |
Document versioning and automatic “re-training” implemented on upload;
Customize your own async end-points and database models via FastAPI and SQLModel;
Full API documentation via Swagger and Redoc included;
PGAdmin included so you can browse your database | Build language agents as graphs;
Built on top of LangChain;
Inspired by Pregel and Apache Beam |
Statistics | |
GitHub Stars 2.4K | GitHub Stars 20.6K |
GitHub Forks 255 | GitHub Forks 3.6K |
Stacks 0 | Stacks 22 |
Followers 5 | Followers 7 |
Votes 0 | Votes 1 |
Integrations | |
What are some alternatives to RasaGPT, LangGraph?
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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.
Ollama
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LlamaIndex
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PromptZerk
Transform basic prompts into expert-level AI instructions. Enhance, benchmark & optimize prompts for ChatGPT, Claude, Gemini & more.
LangSmith
It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.
GPTScript
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Vandamme LLM Proxy
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