raggenie
RAGgenie is a low-code platform for building retrieval-augmented generation (RAG) conversational AI 'copilots' from your existing data, enabling teams and individuals to create, run locally, and integrate custom GenAI assistants without advanced technical skills.
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Quick Overview
Best for: Chatbots & Assistants
What it does
Chatbots & Assistants software for decision-makers comparing workflow fit and alternatives.
Best fit
Chatbots & Assistants
Pricing snapshot
Pricing available on request
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raggenie
RAGgenie is a low-code RAG (retrieval-augmented generation) builder that enables users to create conversational AI copilots from their existing data without requiring advanced technical skills. The platform emphasizes ease-of-use: you can chat with databases in plain language and build custom conversational AI apps quickly. RAGgenie is offered as an open-source tool with guidance for running locally, and provides community channels (GitHub, Slack), demo resources, and connectors to integrate with team tools and external apps.
Low-code platform to build custom GenAI copilots using your data.
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Claim this listing for $29Key Features
Low-code RAG builder
Build conversational AI apps and copilots with minimal or no coding using a low-code platform.
Natural language database chat
Chat with your database in plain language to retrieve and interact with information.
Out-of-the-box connectors
A connectors directory to link your team’s favorite tools for data and workflow integration.
Open-source and local deployment
Guides for running RAGgenie locally and an open-source codebase to customize deployments.
Tutorials and demo resources
Tutorial videos and demo sessions to learn how to build and run GenAI copilots.
Pricing
Current pricing details are not available from the vendor source.
Use Cases
Create custom GenAI copilots
Use your own data to build conversational assistants tailored to specific tasks or knowledge domains.
Embed conversational AI into apps
Integrate generated copilots into existing applications to provide natural-language access to data and workflows.
Team knowledge access
Connect team tools and data sources so teams can query and collaborate over shared information.
Local development and experimentation
Run RAGgenie locally to develop, test, and customize copilots using provided guides and the open-source project.
Integrations
Connectors directory
Out-of-the-box connectors to link data sources and third-party tools so teams can integrate RAGgenie into existing workflows.
Benefits
Limitations
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Step 1: Visit the RAGgenie site and review demo and tutorial resources.
- 2 Step 2: Connect your data sources using the connectors directory to provide content for your copilot.
- 3 Step 3: Build a copilot via the low-code interface or follow the guide to run RAGgenie locally; join the community or book a demo for support.
Support
docs
Tutorial videos and guides available on the site to learn how to build and run RAGgenie.
demo
Book a Demo option to see the platform and obtain guided assistance.
community
Collaborative GitHub community and Slack workspace for discussion, support, and development.
API
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