eyurtsev/kor

• highabout#1

  Update the repository description to be more informative

  Why:

  CURRENT

  LLM(😽)

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  Extract structured data from text using LLMs, especially those without native function calling or tool APIs.

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• highreadme#2

  Reposition the README's opening statement to highlight Kor's specific niche

  Why:

  CURRENT

  # Kor
  
  This is a half-baked prototype that "helps" you extract structured data from text using LLMs 🧩.
  
  Specify the schema of what should be extracted and provide some examples.
  
  Kor will generate a prompt, send it to the specified LLM and parse out the
  output.
  
  You might even get results back.
  
  So yes – it’s just another wrapper on top of LLMs with its own flavor of abstractions. 😸

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  # Kor: Structured Data Extraction for LLMs (especially those without native tool calling)
  
  Kor is a Python library designed to help you reliably extract structured data from text using Large Language Models (LLMs). It is particularly well-suited for "old style" LLMs that do not have a chat interface or native tool calling APIs. Specify your desired output schema, provide examples, and Kor will generate prompts, interact with the LLM, and parse the output into structured data.

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• mediumtopics#3

  Enhance repository topics with more specific keywords

  Why:

  CURRENT

  information-extraction, llm, natural-language, natural-language-processing, natural-language-understanding

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  information-extraction, llm, natural-language, natural-language-processing, natural-language-understanding, structured-output, legacy-llm, no-function-calling, prompt-engineering

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How can I extract structured data from unstructured text using large language models?

  you: not recommended
  AI recommended (in order):

  1. OpenAI GPT-4 / GPT-3.5 Turbo
  2. Anthropic Claude 3
  3. LlamaIndex (run-llama/llama_index)
  4. LangChain (langchain-ai/langchain)
  5. Mistral Large / Mixtral 8x7B
  6. Instructor (jxnl/instructor)
  7. Llama 3
  8. Falcon
  9. Zephyr

  AI recommended 9 alternatives but never named eyurtsev/kor. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What tools provide structured output from LLMs lacking native function calling capabilities?

  you: not recommended
  AI recommended (in order):

  1. Guidance
  2. Instructor
  3. JSONFormer
  4. LMQL
  5. Outlines
  6. LiteLLM
  7. LangChain

  AI recommended 7 alternatives but never named eyurtsev/kor. This is the gap to close.

  Show full AI answer

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of eyurtsev/kor?

  pass
  ✓AI named eyurtsev/kor explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts eyurtsev/kor in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named eyurtsev/kor explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo eyurtsev/kor solve, and who is the primary audience?

  pass
  ✓AI named eyurtsev/kor explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?