RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/how_to_fix_your_context

Default branch main · commit 9db0818e · scanned 6/10/2026, 9:02:59 PM

GitHub: 545 stars · 106 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
17 /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
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 langchain-ai/how_to_fix_your_context, 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

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

OVERALL DIRECTION
  • highabout#1
    Add a concise About description

    Why:

    COPY-PASTE FIX
    Demonstrations of 6 common context engineering techniques for LLMs, implemented with LangGraph, to prevent performance degradation and hallucinations in long contexts.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to specify usage terms.

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 langchain-ai/how_to_fix_your_context
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. Weaviate · recommended 2×
  3. LangChain · recommended 2×
  4. LlamaIndex · recommended 2×
  5. Chroma · recommended 1×
  • CATEGORY QUERY
    How to improve LLM performance by optimizing information within the context window?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Chroma
    4. LangChain
    5. LlamaIndex
    6. Hugging Face Transformers Library
    7. peft
    8. Claude
    9. spaCy
    10. NLTK
    11. scikit-learn

    AI recommended 11 alternatives but never named langchain-ai/how_to_fix_your_context. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective strategies for managing and fixing context issues in large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Playground/API
    4. Anthropic's Constitutional AI
    5. Faiss
    6. Pinecone
    7. Weaviate
    8. Milvus
    9. Hugging Face Transformers library
    10. OpenAI Fine-tuning API
    11. Hugging Face PEFT
    12. OpenAI Function Calling
    13. Guardrails.ai
    14. Ragas
    15. Arize AI
    16. Weights & Biases

    AI recommended 16 alternatives but never named langchain-ai/how_to_fix_your_context. 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 langchain-ai/how_to_fix_your_context?
    pass
    AI did not name langchain-ai/how_to_fix_your_context — 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 langchain-ai/how_to_fix_your_context in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/how_to_fix_your_context 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 langchain-ai/how_to_fix_your_context solve, and who is the primary audience?
    pass
    AI did not name langchain-ai/how_to_fix_your_context — 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?

Embed your GEO score

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langchain-ai/how_to_fix_your_context — 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
langchain-ai/how_to_fix_your_context — RepoGEO report