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shrutikakapade / LangChain-Prompt-Templates-Explained-From-Basics-to-Industry-Patterns

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A beginner-friendly yet industry-aligned repository explaining LangChain prompt templates. Covers PromptTemplate, ChatPromptTemplate, and FewShotChatPromptTemplate with clear concepts, real-world use cases, and step-by-step explanations to help build reliable LLM-powered applications.

langchain-python prompt-template llm-powered-system chatprompttemplate fewshotchatprompttemplate
  • Updated Jan 23, 2026
  • Jupyter Notebook

chigwell / summaryxtract

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A new package is designed to facilitate structured, reliable extraction of key insights from user-provided texts about cultural topics. It accepts a text input, such as an article or discussion prompt

contributions pattern-matching educators text-input researchers structured-extraction media-files content-creators textual-descriptions retry-mechanisms concise-summaries structured-summaries reliable-insights cultural-topics llm-powered-system core-themes historical-context accurate-responses consistent-responses unprocessed-raw-data
  • Updated Dec 21, 2025
  • Python

wesbass456 / summaryxtract

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💡 Extract key insights from cultural texts easily with summaryxtract, a Python package powered by LLMs for reliable and structured summarization.

contributions pattern-matching educators text-input researchers structured-extraction media-files content-creators textual-descriptions concise-summaries reliable-insights cultural-topics llm-powered-system core-themes historical-context consistent-responses unprocessed-raw-data
  • Updated Feb 18, 2026
  • Python

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