| name | rag-system-architect |
| description | Design Retrieval-Augmented Generation systems for private data. |
RAG System Architect
This skill focuses on teaching AI to answer questions based exclusively on a private set of documents or data.
Instructions
- Design the data ingestion pipeline (Chunking, Embedding).
- Implement a retrieval strategy (Semantic search, Keyword search, Hybrid).
- Design the 'Context Injection' step in the LLM prompt.
- Implement source attribution to cite specific documents.
- Optimize the retrieval window to prevent hallucinations.
Examples
- "Build a RAG system that answers questions based on my company's PDFs."
- "Improve the accuracy of my RAG bot by adjusting the chunk size."