REPOGEO REPORT · LITE

teddylee777/langchain-kr

Default branch main · commit 9a23aaae · scanned 5/11/2026, 2:58:14 PM

GitHub: 2,013 stars · 736 forks

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface teddylee777/langchain-kr, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition the README H1 and opening paragraph to specify application areas

Why:

CURRENT

# 📘 LangChain 한국어 튜토리얼

🌟 **LangChain 공식 Document, Cookbook, 그 밖의 실용 예제**를 바탕으로 작성한 한국어 튜토리얼입니다. 

본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

COPY-PASTE FIX

# 📘 LangChain 한국어 튜토리얼: RAG, AI 에이전트 및 LLM 애플리케이션 개발 가이드

🌟 **LangChain 공식 Document, Cookbook, 그 밖의 실용 예제**를 바탕으로 RAG(검색 증강 생성), AI 에이전트, 그리고 다양한 LLM 애플리케이션 개발 방법을 다루는 한국어 튜토리얼입니다. 

본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하여 실제 애플리케이션을 구축하는 방법을 배울 수 있습니다.

hightopics#2

Add specific application and language topics

Why:

CURRENT

chatgpt, chatgpt-api, cookbook, generative-ai, gpt-3, gpt-4, huggingface, langchain, langchain-python, openai, openai-api, tutorial

COPY-PASTE FIX

chatgpt, chatgpt-api, cookbook, generative-ai, gpt-3, gpt-4, huggingface, langchain, langchain-python, openai, openai-api, tutorial, rag, ai-agents, llm-applications, korean-language

mediumreadme#3

Add a 'Key Topics Covered' section to the README

Why:

COPY-PASTE FIX

## 💡 주요 학습 내용

이 튜토리얼에서는 다음을 포함한 다양한 LangChain 활용법을 다룹니다:

- RAG(검색 증강 생성) 파이프라인 구축 및 최적화
- AI 에이전트 개발 및 멀티 에이전트 협업
- 로컬 환경에서 오픈소스 LLM 배포 및 서빙
- LangServe를 활용한 LLM 웹 애플리케이션 제작
- Streamlit을 이용한 챗봇 서비스 개발
- LangChain Expression Language (LCEL) 심화 학습
- LangSmith를 활용한 LLM 피드백 및 학습

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

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface teddylee777/langchain-kr

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 1×
LlamaIndex · recommended 1×
DeepLearning.AI · recommended 1×
Hugging Face Transformers · recommended 1×
Hugging Face Datasets · recommended 1×

CATEGORY QUERY
Where can I find practical tutorials for developing AI agents and RAG applications?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. DeepLearning.AI
4. Hugging Face Transformers
5. Hugging Face Datasets
6. Hugging Face Spaces
7. Data Independent
8. AI Coffee Break with Letitia
9. Towards Data Science
10. Awesome-LLM-Apps
11. langchain-ai/langchain (langchain-ai/langchain)
12. run-llama/llama_index (run-llama/llama_index)
AI recommended 12 alternatives but never named teddylee777/langchain-kr. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How to deploy and serve open-source large language models on a local machine?
you: not recommended
AI recommended (in order):
1. Ollama
2. LM Studio
3. Jan
4. text-generation-webui (oobabooga/text-generation-webui)
5. llama.cpp
6. vLLM
AI recommended 6 alternatives but never named teddylee777/langchain-kr. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of teddylee777/langchain-kr?
pass
AI did not name teddylee777/langchain-kr — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts teddylee777/langchain-kr in production, what risks or prerequisites should they evaluate first?
pass
AI named teddylee777/langchain-kr 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 teddylee777/langchain-kr solve, and who is the primary audience?
pass
AI did not name teddylee777/langchain-kr — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite