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Retrieve relevant information through RAG

5.5

by majiayu000

194Favorites
107Upvotes
0Downvotes

Leverage Retrieval Augmented Generation to retrieve relevant information from a a LlamaCloud Index. Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.

RAG

5.5

Rating

0

Installs

AI & LLM

Category

Quick Review

This skill provides comprehensive documentation for RAG-based information retrieval using LlamaCloud. The description adequately covers the core capability, though it could be more explicit about input/output formats for CLI invocation. Task knowledge is excellent with detailed code examples for index creation, retrieval configuration, and query execution, plus complete configuration parameters. Structure is clear and well-organized with logical sections (Quick start, Retriever Settings, Requirements). Novelty is moderate—while RAG integration adds value, the skill is primarily a wrapper around an existing API that a CLI agent could potentially invoke directly with sufficient documentation, though this skill does reduce complexity and token usage for common RAG operations.

LLM Signals

Description coverage7
Task knowledge9
Structure8
Novelty6

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

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Publisher

majiayu000 avatar
majiayu000

Skill Author

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