RRepoGEO

REPOGEO REPORT · LITE

HamaWhiteGG/langchain-java

Default branch main · commit df36bdc4 · scanned 6/2/2026, 9:32:48 AM

GitHub: 567 stars · 106 forks

AI VISIBILITY SCORE
35 /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
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 HamaWhiteGG/langchain-java, 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 opening to clarify "LangChain port" identity

    Why:

    CURRENT
    # 🦜️ LangChain Java

Java version of LangChain, while empowering LLM for BigData. 

It serves as a bridge to the realm of LLM within the Big Data domain, primarily in the Java stack.
    COPY-PASTE FIX
    # 🦜️ LangChain Java: A Faithful Java Port of LangChain for Big Data

This project is a direct, faithful Java implementation of the popular LangChain framework, specifically designed to empower Large Language Models (LLMs) within the Big Data domain and the Java stack. It aims to provide the familiar LangChain API and concepts to Java developers working with large-scale data processing.
  • mediumtopics#2
    Add specific Big Data integration topics

    Why:

    CURRENT
    java, langchain, langchian-java, large-language-models, llm, openai, sql-chain
    COPY-PASTE FIX
    java, langchain, langchain-java, large-language-models, llm, openai, sql-chain, big-data, spark, flink, llm-agents, data-integration
  • lowhomepage#3
    Add repository URL as homepage

    Why:

    COPY-PASTE FIX
    https://github.com/HamaWhiteGG/langchain-java

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 HamaWhiteGG/langchain-java
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain4j/langchain4j
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain4j/langchain4j · recommended 1×
  2. spring-projects/spring-ai · recommended 1×
  3. openai/openai-java · recommended 1×
  4. googleapis/google-cloud-java · recommended 1×
  5. microsoft/onnxruntime · recommended 1×
  • CATEGORY QUERY
    How to build applications powered by large language models using Java?
    you: not recommended
    AI recommended (in order):
    1. LangChain4j (langchain4j/langchain4j)
    2. Spring AI (spring-projects/spring-ai)
    3. OpenAI Java Library (openai/openai-java)
    4. Google Cloud Client Libraries for Java (googleapis/google-cloud-java)
    5. ONNX Runtime (microsoft/onnxruntime)
    6. Apache OpenNLP (apache/opennlp)
    7. Deeplearning4j (DL4J) (deeplearning4j/deeplearning4j)

    AI recommended 7 alternatives but never named HamaWhiteGG/langchain-java. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Java framework for integrating LLMs with big data processing or SQL databases.
    you: not recommended
    AI recommended (in order):
    1. Spring AI
    2. LangChain4j
    3. Apache Flink
    4. Apache Spark
    5. OkHttp
    6. Apache HttpClient
    7. Deeplearning4j
    8. ONNX Runtime
    9. JVector
    10. Pinecone
    11. Weaviate
    12. Milvus
    13. Qdrant

    AI recommended 13 alternatives but never named HamaWhiteGG/langchain-java. This is the gap to close.

    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 HamaWhiteGG/langchain-java?
    pass
    AI named HamaWhiteGG/langchain-java explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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