This article introduces the concept of Sequential Chains in Langchain, a powerful tool for building comprehensive customer review analysis tools. By following the code provided, users can learn to create a chain that translates reviews to English, summarizes them, analyzes sentiments, and generates automated email responses. The Sequential Chains in Langchain allow users to link multiple language model chains together to create a workflow that processes customer feedback efficiently. The article provides step-by-step instructions on how to build chains for translating reviews, summarizing them, identifying sentiments, and generating email responses. The code also includes instructions on how to obtain an OpenAI API key and install necessary dependencies. The final_chain created in the code combines these processing steps in a sequential manner, passing data through each chain and adding the results step-by-step. The output of the final_chain includes fields such as english_review, summary, review_language, sentiment, and automated_email. The article concludes with an example of processing a positive review of a washing machine using the final_chain, demonstrating how the chain outputs all variables for further processing.
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Source link: https://vaibhav1981.medium.com/build-your-own-ai-powered-review-analysis-tool-using-langchains-sequential-chains-9a4ff660c11f?source=rss——openai-5
Create AI review analysis tool with Langchain’s Sequential Chains #AIReviewAnalysis
