Dave Thackeray’s Post

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Customer-obsessed, revenue-led product evangelist

Want to find internal docs more quickly - and skyrocket customer service to grow CLV? Listen in to tomorrow's AI Today. Teaser time... You've heard all about retrieval augmented generation (RAG) - storing your chunked internal docs and knowledge bases as embeddings in vector databases for swift retrieval. But it has drawbacks; AI often returns data that, while including the right words, doesn't include them in the right context. That's where contextual retrieval processing comes in. Or Contextual RAG. Those chunks are now labelled with additional information (which you can generate with AI) so the context in your prompt is now matched to context in your chunks. Context = customer satisfaction. Using customer service chatbots? Using contextual RAG, you can serve up answers that more accurately align to the context of customer queries. More on this brilliant development on tomorrow's AI Today!

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