How to manage and optimize RAG (Retrieval-Augmented Generation) systems without technical expertise?

Manage and optimize RAG (Retrieval-Augmented Generation) systems without technical expertise using FETCH HIVE

This task can be performed using FETCH HIVE

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FETCH

Test, launch, and refine Gen AI prompting, RAG Agents, Datasets and Workflows. An all-in-one workspace for Engineers, Product Managers, and Non-Tech Teams to explore LLM technologies.

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What to expect from an ideal product

  1. Visual interface to set up and tweak RAG systems without writing code or understanding complex technical details
  2. Simple drag-and-drop tools to manage and organize your document collections and knowledge bases
  3. Built-in testing environment to try different prompts and see how your RAG system performs in real-time
  4. Ready-to-use templates and workflows that help you optimize retrieval quality without deep AI expertise
  5. Easy-to-read performance metrics and suggestions to improve your RAG system's accuracy and response quality

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