Rasa

Best Self Hosted Alternatives to Rasa

A curated collection of the 1 best self hosted alternatives to Rasa.

Rasa is a conversational AI platform for building, testing and deploying chatbots and voice assistants. It provides NLU, dialogue management, training and deployment tools, integration connectors, and observability for production conversational applications.

Alternatives List

#1
Open WebUI

Open WebUI

Feature-rich, self-hosted AI interface that integrates Ollama and OpenAI-compatible APIs, offers RAG, vector DB support, image tools, RBAC and observability.

Open WebUI screenshot

Open WebUI is a web-based, extensible AI interface that provides a unified GUI for interacting with local and cloud LLMs. It supports multiple LLM runners and OpenAI-compatible APIs, built-in RAG, artifact storage, and collaboration features.

Key Features

  • Multi-runner support (Ollama and OpenAI-compatible endpoints) and built-in inference integrations for flexible model selection
  • Local Retrieval-Augmented Generation (RAG) with support for multiple vector databases and content extractors
  • Image generation and editing integrations with local and remote engines; prompt-based editing workflows
  • Granular role-based access control (RBAC), user groups, and enterprise provisioning (SCIM, LDAP/AD, SSO integrations)
  • Persistent artifact/key-value storage for journals, leaderboards, and shared session data
  • Progressive Web App (PWA) experience, responsive UI, and multi-device support
  • Native Python function-calling tools (BYOF) and a web-based code editor for tool/workspace development
  • Docker/Kubernetes deployment options, prebuilt image tags for CPU/GPU and Ollama bundles
  • Production observability with OpenTelemetry traces, metrics and Redis-backed session management

Use Cases

  • Teams wanting a central, auditable chat interface to query multiple LLMs and manage permissions
  • Knowledge workers and developers using local RAG pipelines to query private document collections securely
  • Experimentation and model comparison workflows combining multiple models, image tools, and custom functions

Limitations and Considerations

  • Advanced features (model inference, heavy image generation) require external runners or GPU resources; performance depends on the chosen backend
  • Some enterprise integrations and optional storage backends require additional configuration and credentials
  • Desktop app is experimental; recommended production deployment paths are Docker, Docker Compose or Kubernetes

Open WebUI is positioned as a flexible interface layer for LLM workflows, emphasizing provider-agnostic integration, RAG, and enterprise features. It is suited for teams that need a full-featured, customizable web UI for local and cloud model workflows.

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Why choose an open source alternative?

  • Data ownership: Keep your data on your own servers
  • No vendor lock-in: Freedom to switch or modify at any time
  • Cost savings: Reduce or eliminate subscription fees
  • Transparency: Audit the code and know exactly what's running