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PythonReactSEOPDF
GitHub Skill

rag-research

Use this skill when users ask about RAG (Retrieval-Augmented Generation), semantic search, document indexing, embeddings, vector databases, or chunking strategies. Trigger phrases include "how does rag-research work", "improve search results", "RAG optimization", "embedding model", "chunking strategy", "vector database".

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Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Features and purpose

Use this skill when users ask about RAG (Retrieval-Augmented Generation), semantic search, document indexing, embeddings, vector databases, or chunking strategies. Trigger phrases include "how does rag-research work", "improve search results", "RAG optimization", "embedding model", "chunking strategy", "vector database".

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

Guides ↗

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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