Today we are launching several new open-source developer tools and enhancements to existing ones to give you an even better developer experience when you use Ragie!

Ragie ships with everything you need to build and test Retrieval Augmented Generation (RAG) workflows fast:

• ragie-mcp-server: A Model Context Protocol (MCP) server to retrieve context from your entire knowledgebase 
• ragie-cli: A Command Line Interface for importing data from different formats and file types
• Promptie: a test harness for writing and testing prompts with real data
• Base Chat: a free and open source chatbot reference application
• langchain-ragie: LangChain support for agentic flows.

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Curious how our tools help you build fast? 

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Ragie is fully agent-ready with the 1.0 release of its Model Context Protocol (MCP) server. While most MCP servers support interaction with a single integration, Ragie enables MCP clients to access an organization's entire knowledge base with a single retrieval tool.

ragie-cli is your all-in-one command-line solution for using Ragie with intuitive developer ergonomics. Bulk import files from your file system, import files contained within a zip archive or even import YouTube, WordPress, or ReadmeIO export files.  With simple installation and binaries for macOS, Linux and Windows, it’s easy to get started importing and managing your data in Ragie while maintaining complete control.

Promptie gives developers a powerful testing ground for AI prompt engineering, combining Ragie's retrieval with Anthropic's generative AI. This streamlined Next.js application lets you rapidly experiment with prompts, fine-tune system parameters, and optimize retrieval settings while seeing exactly where the source data came from in your outputs. With configurable options for partitioning, reranking, and more, Promptie provides immediate feedback on how your prompts perform in real-world scenarios.

Base Chat is a multi-tenant RAG chatbot that enables organizations to connect and interact with their knowledge bases through Ragie Connect. This reference application showcases several features of Ragie's platform, allowing users to query their organizational data through an intuitive chat interface.

Connect Ragie.ai's specialized retrieval technology with LangChain through a simple integration. Quickly implement context-aware AI systems using the RagieRetriever class. Ragie’s LangChain integration streamlines the creation of knowledge-grounded applications that deliver precise responses with minimal code.

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Ragie ❤️ Open Source.

All of the tools above have been published under the permissive MIT license and are free to use, modify and fork. We humbly ask that if you like our tools and projects that you ⭐ ️the repo. Happy hacking!

If you would like to learn more, check out our Tools page and explore everything that helps you build faster with Ragie.

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Want to talk to somebody about how we can accelerate your development?