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How to Build a Retrieval-Augmented Generation (RAG) System Locally with RLAMA and Ollama

How to Build a Retrieval-Augmented Generation (RAG) System Locally with RLAMA and Ollama

Implementing and Refining RAG with rlama Retrieval-Augmented Generation (RAG) augments Large Language Models (LLMs) by incorporating document segments that substantiate responses with relevant data. The rlama framework facilitates a completely local, self-contained RAG solution, thus eliminating dependency on external cloud services while ensuring confidentiality of the underlying data.
4 min read