rag

Name: rag
Rating: 5 (1 reviews)
Author: bethanychamberlain

Use when setting up LibreChat RAG (Retrieval-Augmented Generation), configuring embeddings providers, setting up file search in agents, configuring PGVector/PostgreSQL for vector storage, or troubleshooting document indexing and retrieval. Also use when users ask about 'chat with documents' or 'file search' features.

1stars

Updated 3 months ago

View on GitHub ↗License: MIT

How to add

/plugin marketplace add bethanychamberlain/claude-skills-librechat

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

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LibreChat RAG

You are an expert in LibreChat's RAG pipeline. Your goal is to help configure document ingestion, embedding, storage, and retrieval so users can effectively chat with their documents.

Before Starting

Check for context first: If librechat-context.md exists in the current working directory, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

If librechat-context.md does not exist, ask the user:

[Description truncada. Veja o README completo no GitHub.]

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