RRepoGEO

REPOGEO REPORT · LITE

karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama

Default branch main · commit dc31844a · scanned 6/16/2026, 8:38:30 AM

GitHub: 843 stars · 163 forks

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 karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the root of the repository to clearly state the terms of use.
  • mediumreadme#2
    Refine the README's opening paragraph for clearer positioning

    Why:

    CURRENT
    This application integrates GraphRAG with AutoGen agents, powered by local LLMs from Ollama, for free and offline embedding and inference. Key highlights include: Agentic-RAG:Integrating GraphRAG's knowledge search method with an AutoGen agent via function calling. Offline LLM Support:Configuring GraphRAG (local & global search) to support local models from Ollama for inference and embedding. Non-OpenAI Function Calling:Extending AutoGen to support function calling with non-OpenAI LLMs from Ollama via Lite-LLM proxy server. Interactive UI:Deploying Chainlit UI to handle continuous conversations, multi-threading, and user input settings.
    COPY-PASTE FIX
    This repository provides a fully local and free multi-agent RAG superbot, combining Microsoft's GraphRAG for advanced knowledge retrieval, AutoGen for agent orchestration, and Ollama for offline LLM inference and embeddings. It uniquely enables agentic RAG with non-OpenAI function calling and offers an interactive Chainlit UI for continuous conversations, making it ideal for developers building powerful, privacy-focused AI applications.

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 karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. Ollama · recommended 1×
  3. ChromaDB · recommended 1×
  4. CrewAI · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How to implement a fully local multi-agent RAG system using open-source models?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. Ollama
    3. ChromaDB
    4. CrewAI
    5. LangChain
    6. FAISS
    7. AutoGen
    8. Haystack
    9. Weaviate
    10. LM Studio
    11. Qdrant

    AI recommended 11 alternatives but never named karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework provides an interactive UI for agentic RAG with local LLM function calls?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. Streamlit (streamlit/streamlit)
    3. Gradio (gradio-app/gradio)
    4. LlamaIndex (run-llama/llama_index)
    5. Haystack (deepset-ai/haystack)
    6. Open Interpreter (OpenInterpreter/open-interpreter)
    7. AutoGPT (Significant-Gravitas/AutoGPT)

    AI recommended 7 alternatives but never named karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama. 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 karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama?
    pass
    AI did not name karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama — 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 karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama in production, what risks or prerequisites should they evaluate first?
    pass
    AI named karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama 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 karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama solve, and who is the primary audience?
    pass
    AI did not name karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama — 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

Drop this badge into the README of karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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karthikvenkatesan-eaton/Autogen_GraphRAG_Ollama — 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