Vectoring Into The Future: AWS Empowered RAG Systems for LLMs

Vectoring Into The Future: AWS Empowered RAG Systems for LLMs

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intro

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intro

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Vectoring Into The Future: AWS Empowered RAG Systems for LLMs

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  1. 1 intro
  2. 2 preamble
  3. 3 agenda
  4. 4 why foundation models?
  5. 5 generative ai can be used for a wide range of use cases
  6. 6 aws offers a broad choice of generative ai capabilities
  7. 7 limitations of llms
  8. 8 vector embeddings
  9. 9 vector databases
  10. 10 enabling vector search across aws services
  11. 11 amazon autota with postgresql compatibility
  12. 12 using pgvector in aws
  13. 13 amazon opensearch service
  14. 14 using opensearch in aws
  15. 15 amazon documentdb
  16. 16 amazon memorydb
  17. 17 amazon neptune analytics
  18. 18 amazon bedrock
  19. 19 knowledge bases for amazon bedrock
  20. 20 vector databases for amazon bedrock
  21. 21 retrieve and generate api
  22. 22 demo time

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