Presales knowledge bot — making scattered, duplicated, NDA-restricted data searchable

📰 Medium · LLM

Learn how to build a presales knowledge bot using a production-grade RAG knowledge retrieval solution on AWS

intermediate Published 4 Jul 2026
Action Steps
  1. Build a RAG knowledge retrieval solution using Amazon Aurora on AWS
  2. Configure the solution to handle scattered, duplicated, and NDA-restricted data
  3. Integrate the solution with a search interface to make data searchable
  4. Test the solution for scalability and performance
  5. Deploy the solution to a production environment using AWS
Who Needs to Know This

Sales and presales teams can benefit from this solution to efficiently search and retrieve relevant information, while developers and engineers can learn from the technical implementation

Key Insight

💡 A production-grade RAG knowledge retrieval solution can efficiently handle complex data and make it searchable

Share This
🤖 Build a presales knowledge bot using RAG on AWS to search scattered data! 🚀

Key Takeaways

Learn how to build a presales knowledge bot using a production-grade RAG knowledge retrieval solution on AWS

Full Article

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