This HR chatbot answers user questions with tools through an autonomous agent workflow.
Open source
24 alternativesRasaGPT
RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain.
About RasaGPT
RasaGPT is an open source boilerplate and reference implementation that combines Rasa with Langchain and LlamaIndex for indexing, retrieval and context injection. It includes a FastAPI backend, SQLModel models, Postgres with pgvector, and Telegram integration with ngrok.
It supports document upload and re-training, document versioning, chat history storage, multi-tenancy with sessions and metadata, human handoff detection, and automatic tagging. The author states it is far from production code with prompt injection and security vulnerabilities, and Linux or Windows users must change Docker image names.
Key features
- Upload documents and train via FastAPI endpoints
- Document versioning with automatic re-training on upload
- Embedding similarity search in Postgres via pgvector
- Telegram integration with ngrok endpoints on startup
- Bot detects when human handoff is necessary
- Generates tags from user questions and responses automatically
Best for: Developers exploring how to connect Rasa chatbots with Langchain-based document retrieval.
Good for
- Open source codebase built with Rasa, FastAPI, Langchain, LlamaIndex and pgvector
- Includes document upload, versioning and automatic re-training workflow
- Includes dummy data, multi-tenancy schema and stored chat history for testing
Watch out for
- Stated to be far from production code with prompt injection and security vulnerabilities
- Linux and Windows users must change Docker image names manually
RasaGPT at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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RasaGPT FAQ
What is RasaGPT?
It is boilerplate and a reference implementation of Rasa and Telegram using Langchain for indexing, retrieval and context injection.
Is RasaGPT ready for production use?
No. The author states it is far from production code and has prompt injection and general security vulnerabilities.
What change is needed to run on Linux or Windows?
Change the image name from khalosa/rasa-aarch64:3.5.2 to rasa/rasa:latest in docker-compose.yml and in the actions Dockerfile.
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