The content discusses the process of adapting code from Greg Kamradt’s ‘The LangChain Cookbook: 7 Core Concepts’ to work with the latest version of LangChain. The deprecated langchain.embeddings module was replaced with langchain_openai, and examples of code modifications are provided. The use of ChatPromptTemplate and FewShotChatMessagePromptTemplate for working with LangChain is explained, along with the process of using SemanticSimilarityExampleSelector to generate responses based on example sentences. The changes made to the code to accommodate these classes and modules are detailed. The output and functionality of the modified code are demonstrated, showing how the AI can understand patterns and provide appropriate responses based on the input data. The benefits of using SemanticSimilarityExampleSelector to filter examples based on semantic similarity are highlighted, making it easier for the AI to generate relevant responses. Overall, the content showcases the adaptation and utilization of different modules and classes in LangChain to improve the functionality and performance of the code.
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Source link: https://medium.com/@mizutori/llm-study-diary-comprehensive-review-of-langchain-part-2-a7c140aec26d?source=rss——openai-5
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Part 2 of LangChain review in LLM Study Diary #languages
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