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RAG Data Pipeline

Retrieval Augmented Generation.

RAG has emerged as a leading approach in developing generative AI applications.

Workflow​

Buildig a no code RAG data pipeline

See process engineering

Challenges​

Challenges building error-free RAG systems include:

  • Chunk and document quality
  • Refining prompts
  • Output hallucinations

Building production-ready RAG-powered applications

  • Decrease cycle time
  • Increase accuracy
  • Maximize value

Negative​