RAG Architectures: From Naive to Agentic (With Code)
📰 Medium · RAG
Learn to build advanced RAG architectures, from naive to agentic, with code examples
Action Steps
- Build a basic RAG model using embeddings
- Implement a retrieval mechanism to augment generation
- Configure an agentic RAG architecture with code
- Test the performance of the agentic RAG model
- Compare the results with naive RAG approaches
Who Needs to Know This
NLP engineers and researchers can benefit from this article to improve their RAG models, while product managers can understand the potential applications of advanced RAG architectures
Key Insight
💡 Agentic RAG architectures can significantly improve generation performance by incorporating retrieval mechanisms
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🚀 Advance your RAG game! Learn to build agentic RAG architectures with code examples
Full Article
Retrieval-Augmented Generation has come a long way from “embed, retrieve, generate.” Continue reading on Medium »
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