RRepoGEO

REPOGEO REPORT · LITE

SaiAkhil066/DeepSeek-RAG-Chatbot

Default branch main · commit 11383167 · scanned 5/25/2026, 12:28:11 PM

GitHub: 1,721 stars · 255 forks

AI VISIBILITY SCORE
15 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
0 / 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 SaiAkhil066/DeepSeek-RAG-Chatbot, 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
    rag, chatbot, deepseek, graphrag, hybrid-retrieval, neural-reranking, bm25, faiss, hyde, local-pc, offline, private-ai, knowledge-graph, chat-memory, ollama
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    [Consider adding a link to a live demo, project page, or GitHub Pages for the repo, e.g., https://SaiAkhil066.github.io/DeepSeek-RAG-Chatbot]
  • lowreadme#3
    Enhance the README's initial description to explicitly state the project's purpose and audience

    Why:

    CURRENT
    This chatbot enables **fast, accurate, and explainable retrieval of information** from PDFs, DOCX, and TXT files using **DeepSeek-7B**, **BM25**, **FAISS**, **Neural Reranking (Cross-Encoder)**, **GraphRAG**, and **Chat History Integration**.
    COPY-PASTE FIX
    This project provides a 100% free, private, and local PC solution for building advanced RAG chatbots. It enables fast, accurate, and explainable retrieval of information from your PDFs, DOCX, and TXT files using DeepSeek-7B, BM25, FAISS, Neural Reranking (Cross-Encoder), GraphRAG, and Chat History Integration, ideal for developers and AI enthusiasts.

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 SaiAkhil066/DeepSeek-RAG-Chatbot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
—
No competitor dominated
  • CATEGORY QUERY
    How to build a private RAG chatbot with hybrid retrieval and neural reranking locally?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What tools enable building a RAG system with knowledge graphs and chat memory for local documents?
    you: not recommended
    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 SaiAkhil066/DeepSeek-RAG-Chatbot?
    pass
    AI did not name SaiAkhil066/DeepSeek-RAG-Chatbot — 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 SaiAkhil066/DeepSeek-RAG-Chatbot in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name SaiAkhil066/DeepSeek-RAG-Chatbot — 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?

  • In one sentence, what problem does the repo SaiAkhil066/DeepSeek-RAG-Chatbot solve, and who is the primary audience?
    pass
    AI did not name SaiAkhil066/DeepSeek-RAG-Chatbot — 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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SaiAkhil066/DeepSeek-RAG-Chatbot — 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