RRepoGEO

REPOGEO REPORT · LITE

Azure-Samples/serverless-chat-langchainjs

Default branch main · commit 2b0bfd23 · scanned 6/9/2026, 1:13:57 AM

GitHub: 858 stars · 482 forks

AI VISIBILITY SCORE
22 /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
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 Azure-Samples/serverless-chat-langchainjs, 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 the README's opening to emphasize 'reference architecture' and 'template'

    Why:

    CURRENT
    This sample shows how to build a serverless AI chat experience with Retrieval-Augmented Generation using LangChain.js and Azure. The application is hosted on Azure Static Web Apps and Azure Functions, with Azure Cosmos DB for NoSQL as the vector database. You can use it as a starting point for building more complex AI applications.
    COPY-PASTE FIX
    This **reference architecture and template** provides a complete, serverless AI chat experience with Retrieval-Augmented Generation (RAG) using LangChain.js and Azure, serving as a robust starting point for your own applications. The application is hosted on Azure Static Web Apps and Azure Functions, with Azure Cosmos DB for NoSQL as the vector database.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://learn.microsoft.com/azure/developer/javascript/ai/get-started-app-chat-template-langchainjs
  • mediumtopics#3
    Add more specific topics to better categorize the repository

    Why:

    CURRENT
    ai-azd-templates, azd-templates, azure, azure-functions, chatbot, generative-ai, javascript, langchain-js, mongodb, rag, retrieval-augmented-generation, serverless, typescript
    COPY-PASTE FIX
    ai-azd-templates, azd-templates, azure, azure-functions, chatbot, generative-ai, javascript, langchain-js, mongodb, rag, retrieval-augmented-generation, serverless, typescript, reference-architecture, sample-application, vector-database

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 Azure-Samples/serverless-chat-langchainjs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AWS Lambda
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS Lambda · recommended 2×
  2. Google Cloud Functions · recommended 2×
  3. Google Cloud Vertex AI · recommended 2×
  4. Azure Functions · recommended 2×
  5. Azure OpenAI Service · recommended 2×
  • CATEGORY QUERY
    How to build a serverless AI chatbot with RAG using JavaScript or TypeScript?
    you: not recommended
    AI recommended (in order):
    1. AWS Amplify
    2. AWS Lambda
    3. Amazon Bedrock
    4. OpenAI API
    5. Vercel
    6. Next.js
    7. Vercel AI SDK
    8. Cohere
    9. Anthropic
    10. Google Cloud Functions
    11. Firebase
    12. Google Cloud Vertex AI
    13. Azure Static Web Apps
    14. Azure Functions
    15. Azure OpenAI Service
    16. Netlify
    17. Netlify Functions
    18. Pinecone
    19. Weaviate
    20. Qdrant
    21. Amazon OpenSearch Service
    22. PostgreSQL
    23. pgvector
    24. OpenAI Embeddings API
    25. Cohere Embed
    26. Amazon Titan Embeddings
    27. Hugging Face Inference Endpoints
    28. sentence-transformers

    AI recommended 28 alternatives but never named Azure-Samples/serverless-chat-langchainjs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a framework to implement retrieval augmented generation with serverless functions.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. AWS Lambda
    3. Google Cloud Functions
    4. Azure Functions
    5. LlamaIndex (run-llama/llama_index)
    6. Haystack (deepset-ai/haystack)
    7. AWS Bedrock
    8. Amazon OpenSearch Service
    9. Google Cloud Vertex AI
    10. Cloud SQL
    11. BigQuery
    12. Azure OpenAI Service
    13. Azure Cognitive Search
    14. Azure Cosmos DB
    15. FastAPI (tiangolo/fastapi)
    16. Google Cloud Run
    17. Azure Container Apps

    AI recommended 17 alternatives but never named Azure-Samples/serverless-chat-langchainjs. 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 Azure-Samples/serverless-chat-langchainjs?
    pass
    AI did not name Azure-Samples/serverless-chat-langchainjs — 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 Azure-Samples/serverless-chat-langchainjs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Azure-Samples/serverless-chat-langchainjs 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 Azure-Samples/serverless-chat-langchainjs solve, and who is the primary audience?
    pass
    AI did not name Azure-Samples/serverless-chat-langchainjs — 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 Azure-Samples/serverless-chat-langchainjs. 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/Azure-Samples/serverless-chat-langchainjs.svg)](https://repogeo.com/en/r/Azure-Samples/serverless-chat-langchainjs)
HTML
<a href="https://repogeo.com/en/r/Azure-Samples/serverless-chat-langchainjs"><img src="https://repogeo.com/badge/Azure-Samples/serverless-chat-langchainjs.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Azure-Samples/serverless-chat-langchainjs — 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