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Rag Pipeline Builder

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monkey1sai·vlatest·ai-ml

Automates building robust RAG pipelines from data sources to knowledge bases, streamlining LLM application development.

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This skill no longer installs under the name rag-pipeline-builder. monkey1sai/openai-cli is deleted or private, so it cannot be installed from.

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monkey1sai

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Live repository

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About this skill

What it does

This skill allows you to construct Retrieval Augmented Generation (RAG) pipelines. It facilitates connecting an AI agent to external data sources, enabling it to generate responses grounded in that information. The tool streamlines the process of building and configuring these pipelines for more informed and contextually relevant outputs.

When to use it

  • Knowledge Base Integration: When your AI agent needs access to a specific knowledge base (e.g., company documentation, product manuals) to answer questions accurately.
  • Real-time Data Retrieval: To provide up-to-date information by retrieving data from live sources like APIs or databases and incorporating it into the agent's responses.
  • Contextualized Content Generation: When generating content that requires referencing specific external resources, ensuring accuracy and relevance.

Key capabilities

  • Connect to various data sources.
  • Configure retrieval strategies.
  • Build RAG pipelines.
  • Streamline pipeline creation.

Example prompts

  • "Create a RAG pipeline using my company's internal documentation."
  • "Build a RAG pipeline that retrieves product information from our API."
  • "Connect this agent to the latest news articles about AI."

Tips & gotchas

The skill requires access to relevant data sources and appropriate credentials. Ensure these are properly configured before attempting to build a RAG pipeline.