RRepoGEO

REPOGEO REPORT · LITE

FalkorDB/GraphRAG-SDK

Default branch main · commit 0ab92bac · scanned 6/15/2026, 10:41:37 PM

GitHub: 941 stars · 129 forks

AI VISIBILITY SCORE
40 /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
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 FalkorDB/GraphRAG-SDK, 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
    Reposition README's first paragraph to state purpose directly

    Why:

    CURRENT
    Most GraphRAG systems work in demos and break under production constraints. GraphRAG SDK was built from real deployments around a simple idea: the retrieval harness matters more than the model. The result is a modular, benchmark-leading framework with predictable cost and sensible defaults that gets you from raw documents to cited answers in under 5 minutes.
    COPY-PASTE FIX
    GraphRAG SDK is a modular, benchmark-leading framework designed to help developers build fast, accurate, and scalable GenAI applications leveraging graph-based retrieval and knowledge graphs. Most GraphRAG systems work in demos and break under production constraints. Built from real deployments around a simple idea: the retrieval harness matters more than the model, it offers predictable cost and sensible defaults that gets you from raw documents to cited answers in under 5 minutes.
  • mediumcomparison#2
    Add a 'Comparison to Alternatives' section in README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

While general LLM frameworks like LangChain and LlamaIndex offer broad RAG capabilities, GraphRAG SDK is purpose-built for production-grade GraphRAG applications, leveraging FalkorDB for superior accuracy and performance. Unlike general graph databases such as Neo4j, our SDK provides a complete framework specifically optimized for graph-based retrieval in GenAI, rather than just a database backend.
  • lowreadme#3
    Add a 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Features

*   **Benchmark-leading Accuracy:** Consistently outperforms other systems in RAG benchmarks.
*   **FalkorDB-fast:** Leverages FalkorDB for high-speed graph operations and retrieval.
*   **Multi-tenant Support:** Designed for scalable, multi-user production environments.
*   **Advanced Graph Traversal:** Utilizes sophisticated graph algorithms for precise context retrieval.
*   **5-Minute Setup:** Get from raw documents to cited answers quickly with sensible defaults.

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 FalkorDB/GraphRAG-SDK
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neo4j
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Neo4j · recommended 2×
  2. LangChain · recommended 2×
  3. LlamaIndex · recommended 2×
  4. Neo4j Bloom · recommended 1×
  5. Neo4j Browser · recommended 1×
  • CATEGORY QUERY
    How to build accurate and scalable RAG applications with knowledge graphs?
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. LangChain
    3. LlamaIndex
    4. Neo4j Bloom
    5. Neo4j Browser
    6. OpenAI Embeddings
    7. Hugging Face Transformers
    8. Cohere Embeddings
    9. Pinecone
    10. Weaviate
    11. GPT-4
    12. Claude 3
    13. Llama 3
    14. Amazon Neptune
    15. Amazon SageMaker
    16. Amazon Bedrock
    17. Amazon OpenSearch Service
    18. Amazon Kendra
    19. Anthropic Claude
    20. AI21 Labs Jurassic
    21. Amazon Titan
    22. TypeDB
    23. BigQuery
    24. Dataproc
    25. Vertex AI
    26. Apache Spark GraphX
    27. Vertex AI Embeddings for Text
    28. Vertex AI Endpoints
    29. Cloud SQL
    30. Vertex AI Vector Search
    31. Vertex AI PaLM 2
    32. Gemini
    33. Dgraph

    AI recommended 33 alternatives but never named FalkorDB/GraphRAG-SDK. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps build reliable GenAI apps using graph-based retrieval?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Neo4j
    4. Haystack
    5. GraphRAG

    AI recommended 5 alternatives but never named FalkorDB/GraphRAG-SDK. 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 FalkorDB/GraphRAG-SDK?
    pass
    AI named FalkorDB/GraphRAG-SDK explicitly

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

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

    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 FalkorDB/GraphRAG-SDK. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/FalkorDB/GraphRAG-SDK.svg)](https://repogeo.com/en/r/FalkorDB/GraphRAG-SDK)
HTML
<a href="https://repogeo.com/en/r/FalkorDB/GraphRAG-SDK"><img src="https://repogeo.com/badge/FalkorDB/GraphRAG-SDK.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

FalkorDB/GraphRAG-SDK — 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