Deodat-Lawson/LaunchStack

• highreadme#1

  Reposition the README's opening statement to clarify its role as an AI engine for specific applications.

  原因：

  当前

  **The TypeScript engine for AI-native Next.js apps.** Ingestion, OCR, RAG, knowledge graph, LLM abstractions, and background jobs — ports-based, framework-agnostic, and designed to be wired into the Next.js app you already have.

  复制粘贴的修复

  复制

  **The AI-powered Engine for Next.js StartUp Accelerators.** Ingestion, OCR, RAG, knowledge graph, LLM abstractions, and background jobs — designed to power document-centric AI applications and workflows.

  待办完成忽略
• mediumtopics#2

  Add more specific topics to improve category visibility.

  原因：

  当前

  claude, docker, knowlege-graph, langchain, mcp, n8n, neo4j, nextjs, ollama, open-source, openai, pgvector, postgresql, rag, self-hosted, typescript, workflow-automation

  复制粘贴的修复

  复制

  claude, docker, knowlege-graph, langchain, mcp, n8n, neo4j, nextjs, ollama, open-source, openai, pgvector, postgresql, rag, self-hosted, typescript, workflow-automation, startup-accelerator, document-processing, ai-engine, ai-workflows, knowledge-base

  待办完成忽略
• lowabout#3

  Refine the 'About' description to reinforce its role as an AI engine for specific applications.

  原因：

  当前

  AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.

  复制粘贴的修复

  复制

  A TypeScript engine for AI-native Next.js applications, providing core functionalities for document ingestion, RAG, knowledge graphs, and AI-powered workflows. Designed for building custom StartUp Accelerator platforms.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to build an AI-powered Next.js application with document ingestion and RAG capabilities?

  你：未被推荐
  AI 推荐顺序：

  1. Next.js (vercel/next.js)
  2. Vercel AI SDK (vercel/ai)
  3. LangChain.js (langchain-ai/langchainjs)
  4. OpenAI API (openai/openai-node)
  5. GPT-4
  6. GPT-3.5 Turbo
  7. Anthropic's Claude
  8. Pinecone (pinecone-io/pinecone-client-js)
  9. Supabase (supabase/supabase)
  10. Cloudinary (cloudinary/cloudinary_npm)
  11. AWS S3 (aws/aws-sdk-js-v3)
  12. Google Cloud Storage (googleapis/nodejs-storage)

  AI 推荐了 12 个替代方案，却始终没点名 Deodat-Lawson/LaunchStack。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are good open-source TypeScript engines for AI apps with knowledge graphs and vector search?

  你：未被推荐
  AI 推荐顺序：

  1. LangChain.js (langchain-ai/langchainjs)
  2. LlamaIndex.TS (run-llama/llama_index)
  3. TypeORM (typeorm/typeorm)
  4. Prisma (prisma/prisma)
  5. pgvector (pgvector/pgvector)
  6. Neo4j JavaScript Driver (neo4j/neo4j-javascript-driver)
  7. Pinecone (pinecone-io/pinecone-ts-client)
  8. Weaviate (weaviate/weaviate-ts-client)
  9. Qdrant (qdrant/qdrant-js)

  AI 推荐了 9 个替代方案，却始终没点名 Deodat-Lawson/LaunchStack。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of Deodat-Lawson/LaunchStack?

  pass
  ✓AI 明确点名了 Deodat-Lawson/LaunchStack

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts Deodat-Lawson/LaunchStack in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 Deodat-Lawson/LaunchStack

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo Deodat-Lawson/LaunchStack solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 Deodat-Lawson/LaunchStack

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？