Work with the RAG knowledge base — ingest documents, run semantic search, manage collections, or add a sync source/connector (Google Drive, S3). Use when populating or debugging the knowledge base, tuning retrieval, or adding a new document source. This project uses {{ cookiecutter.vector_store }} + {{ cookiecutter.embedding_provider }} embeddings.
How to install rag-knowledge?
vstorm-co/full-stack-ai-agent-template/rag-knowledge
$npx -y skills add vstorm-co/full-stack-ai-agent-template --skill rag-knowledgeInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/vstorm-co/full-stack-ai-agent-template" --skill "vstorm-co/full-stack-ai-agent-template/rag-knowledge"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/vstorm-co/full-stack-ai-agent-template" that are relevant to the current task. Run `npx skills add "https://github.com/vstorm-co/full-stack-ai-agent-template"` and select the relevant skills, then follow their instructions.
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