RRepoGEO

REPOGEO REPORT · LITE

gkamradt/langchain-tutorials

Default branch main · commit 697c4de4 · scanned 6/21/2026, 10:07:24 AM

GitHub: 7,453 stars · 2,020 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 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 gkamradt/langchain-tutorials, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    langchain, tutorials, generative-ai, llms, prompt-engineering, python, education, machine-learning
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT or Apache-2.0) to the repository root to clearly state the terms of use.
  • highreadme#3
    Clarify the README's introductory positioning for generative AI

    Why:

    CURRENT
    # Learn LangChain

Overview, Tutorial, and Examples of LangChain

See the accompanying tutorials on YouTube
    COPY-PASTE FIX
    # Learn LangChain

This repository provides comprehensive tutorials and examples for building generative AI applications with LangChain.

See the accompanying video tutorials on YouTube for a guided learning experience.

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 gkamradt/langchain-tutorials
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. Google AI for Developers · recommended 1×
  3. DeepLearning.AI · recommended 1×
  4. pytorch/pytorch · recommended 1×
  5. keras-team/keras · recommended 1×
  • CATEGORY QUERY
    Seeking beginner-friendly tutorials for developing generative AI applications.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Course (huggingface/transformers)
    2. Google AI for Developers
    3. DeepLearning.AI
    4. PyTorch Tutorials (pytorch/pytorch)
    5. Keras Examples (keras-team/keras)
    6. freeCodeCamp
    7. OpenAI Cookbook (openai/openai-cookbook)

    AI recommended 7 alternatives but never named gkamradt/langchain-tutorials. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective tools for building question answering systems over custom documents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Hugging Face Transformers
    5. FAISS
    6. Pinecone
    7. Weaviate
    8. OpenAI API
    9. Elasticsearch

    AI recommended 9 alternatives but never named gkamradt/langchain-tutorials. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    Suggestion:

  • 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 gkamradt/langchain-tutorials?
    pass
    AI named gkamradt/langchain-tutorials explicitly

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

  • If a team adopts gkamradt/langchain-tutorials in production, what risks or prerequisites should they evaluate first?
    pass
    AI named gkamradt/langchain-tutorials 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 gkamradt/langchain-tutorials solve, and who is the primary audience?
    pass
    AI named gkamradt/langchain-tutorials explicitly

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

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gkamradt/langchain-tutorials — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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