Blogs by: Kyle Hailey

From RAG to Riches: AI That Knows Your Support Stack 

From RAG to Riches: AI That Knows Your Support Stack 

In this post, we walk through how to build a RAG pipeline using YugabyteDB’s new vector capabilities to enable smarter and more context-aware support automation. Discover how to ingest internal documents, vectorize them, store them efficiently in YugabyteDB, and finally how to use an LLM like GPT-4 to answer internal questions—rooted in your own support stack data.

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Hello RAG! Using YugabyteDB to power a RAG Pipeline

Hello RAG! Using YugabyteDB to power a RAG Pipeline

RAG architectures hold the key to moving beyond static, pre-trained models by anchoring responses in live, curated data. In this blog, we explore how YugabyteDB, can power the retrieval layer of a RAG pipeline—offering scale, resilience, and low-latency access to semantically rich data. Whether you’re building smart chatbots, enterprise search, or generative AI assistants, this setup can improve performance, operational efficiency, and cost-effective scaling.

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