SpringAI Retrieval Augmented Generation (RAG) With PgVector Part 1
Last Updated on September 9, 2025 by Editorial Team
Author(s): Adil
Originally published on Towards AI.
SpringAI Retrieval Augmented Generation (RAG) With PgVector Part 1
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This article discusses SpringAI’s Retrieval-Augmented Generation (RAG) using the embedded Ollama model, detailing its practical setup, advantages, and real-world applications, particularly within corporate environments. The author leads readers through the steps of integrating SpringAI with Ollama, including database setup, embedding data into pgvector, and methods to enhance large language models with real-time information retrieval to improve contextual responses.
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