Drainpipe Knowledge Base
What is Retrieval Augmented Generation Prompting?
Retrieval Augmented Generation (RAG) Prompting is one of the well-known prompting techniques used to interact with artificial intelligence models.
- Prompt Type: Tool-Augmented
- Definition: The AI uses up-to-date information from an external source, like a database or the web, to answer a question.
- Typical Use Case: Answering queries requiring real-time or specialized data, such as news or company records.
- Advantages: Provides current, accurate information; reduces reliance on model’s internal knowledge.
- Disadvantages: Depends on access to reliable external sources; may fail if data is unavailable.
- Implementation Tips: Specify the type of source (e.g., “recent web data”) to ensure the AI retrieves relevant information.
- Skill Level Required: Advanced – Requires access to external data sources and understanding of how to integrate them.
Examples:
- “Using recent weather data, what is the current temperature in New York City?”
- “Based on the latest stock market data, what is the current price of Apple shares?”
- “Using a company database, find the sales figures for Q3 2025.”