RRepoGEO

REPOGEO REPORT · LITE

vercel-labs/knowledge-agent-template

Default branch main · commit 1da09d0f · scanned 6/7/2026, 1:37:50 PM

GitHub: 819 stars · 112 forks

AI VISIBILITY SCORE
33 /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
2 / 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 vercel-labs/knowledge-agent-template, 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
    Add a concise differentiator statement immediately after the main description

    Why:

    COPY-PASTE FIX
    Add this new paragraph directly after the main description (`<i>Open source file-system and knowledge based agent template.</i>`) and before the 'Template.' paragraph:
`<p align="center"> <b>The AI agent template that uses file-system search (grep, find, cat) instead of vector databases and embeddings.</b> </p>`
  • hightopics#2
    Add specific topics for 'no embeddings' and 'vector database free' approaches

    Why:

    CURRENT
    agents, ai-agent, chatbot, file-system, knowledge-base, nuxt, sandbox, typescript, vue
    COPY-PASTE FIX
    agents, ai-agent, chatbot, file-system, knowledge-base, nuxt, sandbox, typescript, vue, no-embeddings, vector-database-free, rag-alternative
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    A new section in the README, e.g., `## Comparison to Alternatives`, explicitly outlining how this template differs from vector-database-centric solutions like LangChain or LlamaIndex by using file-system operations.

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 vercel-labs/knowledge-agent-template
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI Function Calling · recommended 1×
  4. Haystack · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent that accesses a knowledge base using file-system operations?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Function Calling
    4. Haystack

    AI recommended 4 alternatives but never named vercel-labs/knowledge-agent-template. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a template to create AI chatbots from diverse sources without needing vector databases.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. Rasa (RasaHQ/rasa)
    5. OpenAI Assistants API

    AI recommended 5 alternatives but never named vercel-labs/knowledge-agent-template. 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 vercel-labs/knowledge-agent-template?
    pass
    AI did not name vercel-labs/knowledge-agent-template — 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 vercel-labs/knowledge-agent-template in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vercel-labs/knowledge-agent-template 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 vercel-labs/knowledge-agent-template solve, and who is the primary audience?
    pass
    AI named vercel-labs/knowledge-agent-template explicitly

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

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vercel-labs/knowledge-agent-template — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite