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With the recent launch of Contextual Retrieval from Anthropic which has terrific results for RAG, it is interesting to explain how it works, and why it can make sense money wise if used correctly. To do that, we will explain the basis of RAG, do the cost calculation and even explain the limits!
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You have created an application using LangChain and AWS Bedrock and you are wondering how to have better performances and how to be more resilient ? Say no more, in this blog post we will see AWS Bedrock newest features:…

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You’ve probably heard a lot about large language models (LLMs) these days—OpenAI’s GPT models, Google’s Bard, or maybe even Meta’s LLaMA. But what if I told you there’s a model that takes things to the next level by making these…