@datastax/ragstack-ai-cli
Advanced tools
RAGStack is an out-of-the-box solution simplifying Retrieval Augmented Generation (RAG) in GenAI apps.
The RAGStack CLI is the recommended way to manage your RAGStack projects.
With the install command you can safely add or change the RAGStack version without worrying about transitive dependencies versions.
This is especially important because RAGStack is a stack of multiple packages that are tested together for compatibility, performance, and security.
You don't need to install the CLI, using npx is the recommended way to run it.
Move your terminal to the project you want to install RAGStack in and run the following command:
npx @datastax/ragstack-ai-cli install
This will modify the package.json, install @datastax/ragstack-ai and refresh your local dependencies.
The supported package managers are npm and yarn (both classic and berry).
The CLI automatically detects the package manager you are using and installs the correct version of RAGStack.
However, if you never built the project before, it's recommended to force a specific package manager by setting the --use-npm or --use-yarn option.
FAQs
DataStax RAGStack CLI
We found that @datastax/ragstack-ai-cli demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 6 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.