paulpierre/RasaGPT
💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram observed · 2026-08-28
Health v2 · maintenance only
53/100
- Activity 51
- Release rhythm 35
- Longevity 87
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1226
- days_rel: n/a
- days_push: 294
- n_releases_24m: 0
Adoption not part of the score
2462 stars · 250 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
RasaGPT is a headless LLM chatbot platform built on top of Rasa and Langchain, serving as a boilerplate and reference implementation. It integrates Rasa with Telegram, FastAPI, LlamaIndex, and pgvector to provide document upload, indexing, retrieval, and context injection for LLM-powered conversations.
Use cases
- build a telegram chatbot powered by gpt-4
- integrate langchain with rasa for retrieval-augmented conversations
- create a headless llm chatbot api with fastapi
- index documents and inject context into chatbot responses with pgvector
- add multi-tenancy to a rasa chatbot deployment
- self-host a chatgpt-like assistant on telegram
When to choose
- you want a working reference implementation combining Rasa, Langchain, and Telegram
- you need document upload and RAG-style context injection in a chatbot
- you need multi-tenancy and custom pgvector schemas that Rasa does not natively support
- you want a dockerized starting point including macOS Apple Silicon support
When to avoid
- you need production-grade security - the project admits prompt injection and security vulnerabilities
- you want a maintained, stable product rather than a boilerplate/reference implementation
- you do not use Rasa or Telegram in your stack
- you need a fully managed chatbot platform without self-hosting
Facets
framework · maturity experimental
chatbot rag agent-framework nlp api-framework web-framework vector-database llm-inference chatbots large-language-models artificial-intelligence messaging-platforms developer-tools python self-hosted cross-platform rasa langchain llama-index pgvector fastapi telegram-bot headless-chatbot boilerplate gpt-4 openai retrieval-augmented-generation natural-language-processing docker telegram
1 source
- readme: https://github.com/paulpierre/RasaGPT · fetched 2026-08-28 · 317c7c617e42
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| paulpierre/RasaGPT | main | 53 |
For agents
markdown · JSON · MCP: product_card(name="paulpierre/RasaGPT")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem