[Search] RAG

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ttps://cloud.google.com/blog/products/ai-machine-learning/rags-powered-by-google-search-technology-part-1 https://cloud.google.com/blog/products/ai-machine-learning/rags-powered-by-google-search-technology-part-2

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RAG

• RAG : retrival-augmented generation

  

• retrival+reader

  • retrival : keyword search or vector search (semantic search)
    • Neural matching allows a retrieval engine to learn the relationships between a query’s intentions and highly relevant documents, allowing Search to recognize the context of a query instead of the simple similarity search.
    • A production-grade semantic search is not just a similarity search, but must provide smart recommendation to users.
  • reader : LLM reasoning

• critical search technologies for RAG systems

  • re-ranking
  • document extraction and processing
  • knowledge graph
  • data collection.

• From text to multimodal, search to recommendation