Guide

Enabling Generative AI in the Enterprise with Retrieval Augmented Generation (RAG)

Enabling Generative AI in the Enterprise with Retrieval Augmented Generation (RAG)

Pages 15 Pages

Vespa.ai enables enterprises to deploy Generative AI powered by Retrieval Augmented Generation (RAG), enhancing large language models (LLMs) with real-time access to private company data. RAG retrieves relevant information to generate accurate, context-aware responses, improving AI reliability and specificity. Vespa supports the full RAG workflow—from understanding tasks to data retrieval and LLM response generation. Key components include embeddings, which numerically represent data meaning, and vector search, which finds semantically similar items, enabling advanced machine learning and search capabilities for enterprise use.

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