Rasa-Demo

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Rasa-demo is an AI Agents & Automation tool that showcases a contextual AI assistant built with the open-source Rasa framework. It provides an example bot, Sara, to help developers understand and get started with Rasa.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is rasa-demo?

Rasa-demo features Sara, a contextual AI assistant designed to demonstrate the capabilities of the open-source Rasa framework. Sara helps developers understand the Rasa framework, get started with its tools, and answers frequently asked questions. It can also direct technical questions to specific documentation, subscribe users to the Rasa newsletter, and request calls with the sales team. The repository provides all necessary files for installation and running the bot, including custom actions that can connect to external services like MailChimp and Google Sheets, requiring specific credentials for full functionality. This demo is ideal for those looking to explore and implement conversational AI solutions using Rasa.

Best used for

Ideal for developers and technical users who need to explore the capabilities of the Rasa framework, understand how to build contextual AI assistants, and integrate custom actions with external services. Especially valuable for learning and prototyping conversational AI solutions.

Common actions

build chatbots

learn conversational AI

implement AI assistants

integrate external services

collaborationdeepfakelow-code/no-codeautomated workflowworkflowsgithub copilotopen-sourceface swapping"AI Agents"

Capabilities

Key features

Contextual AI assistant demo
Rasa framework example
FAQ answering
Newsletter subscription
Sales call requests
Custom action integration

Target Audience

developersai engineersbot builders

Integrations

mailchimpgoogle-drive

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for running Rasa-demo?

Rasa-demo requires Python 3.6 or 3.7. You will need to clone the repository and run `make install` to set up the bot and its dependencies. Training the model can be memory-intensive.

Can I integrate Rasa-demo with my own external services?

Yes, Rasa-demo supports custom actions that can connect to external services. For example, it includes actions for MailChimp newsletters and Google Sheets for sales forms. You'll need to provide your own API keys and credentials in a `.env` file.

How can I test the NLU and core models of Sara?

After training your Rasa model with `rasa train`, you can test the NLU using `rasa test nlu -u test/test_data.json --model models` and the core model with `rasa test core --stories test/test_stories.md`.

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AI Frameworks & Infra General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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Also listed in

This tool also appears in

Customer Support & CX › AI Chatbots

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