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".
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill 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.
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