ragapp/ragapp

Health v2 · maintenance only

Adoption not part of the score

4442 stars · 474 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

RAGapp is a self-hosted, Docker-deployable application for building Agentic RAG chatbots, configurable through an admin UI similar to OpenAI's custom GPTs. It is built on LlamaIndex and supports hosted models (OpenAI, Gemini) as well as local models via Ollama.

Use cases

• deploy a private chatgpt-like assistant on my own infrastructure
• build an enterprise rag chatbot over company documents
• self-host an agentic rag app with docker
• configure a custom ai assistant with an admin ui
• use local llms with ollama for document q&a
• run multiple rag assistants behind an api gateway

When to choose

• you want a docker-based, self-hosted RAG solution with a ready-made admin and chat UI
• you need enterprise control over data and model providers (OpenAI, Gemini, or Ollama)
• you want quick setup without writing code, similar to custom GPTs

When to avoid

• you need built-in authentication or fine-grained access control out of the box
• you want a lightweight library to embed RAG into an existing app rather than a standalone service
• you require fully managed hosting with no infrastructure to operate

Facets

application · maturity active

rag agent-framework chatbot llm-inference self-hosted web-framework large-language-models self-hosted web-development self-hosted cross-platform agentic-rag llamaindex admin-ui enterprise openai ollama qdrant typescript retrieval-augmented-generation ai-agents docker web-server

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markdown · JSON · MCP: product_card(name="ragapp/ragapp")