Low-Hanging Fruit for RAG Search - jxnl.co

I think the biggest mistake around improving the system is that most people are spending too much time on the actual synthesis without actually understanding whether or not the data is being retrieved correctly. To avoid this:

• Create synthetic questions for each text chunk in your database


• Use these questions to test your retrieval system


• Calculate p

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The explosion of generative AI made us pause and consider what was possible now that wasn’t a year ago. We tried many ideas which didn’t really click, eventually discovering the power of turning every feed and job posting into a springboard to:

• Get information faster , e.g. takeaways from a post or learn about the latest from a company.


• Connect the

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RAG, which stands for "Retrieval Augmented Generation," is a strategy in artificial intelligence where a large language model (LLM) retrieves relevant information from an external knowledge base (like a database or document collection) before generating a response to a user query, ensuring the response is more accurate and contextually relevant by ... See more