sinanuozdemir/oreilly-retrieval-augmented-gen-ai
See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.
This project helps AI developers build applications that can answer questions using up-to-date, external information. You'll learn how to feed real-time data into large language models (LLMs) to get more accurate and context-aware responses. It's designed for developers with Python skills and some background in machine learning and natural language processing who want to create dynamic, intelligent applications.
167 stars.
Use this if you are an AI developer looking to enhance LLMs with external data sources to build more intelligent, context-aware applications.
Not ideal if you are a non-technical user or do not have foundational knowledge in Python, machine learning, and LLMs.
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Last pushed
Feb 17, 2026
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