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In this video, I am taking a look at OpenAI’s new long context agentic RAG system that uses GPT-4.1 for retrieval without the need for dedicated index.
Blogpost: https://cookbook.openai.com/examples/partners/model_selection_guide/model_selection_guide#adaptation-decision-tr
Colab: https://colab.research.google.com/drive/15FuQByD4hVFpqw3Isc_nqVba1Zp_o4Ie?usp=sharing#scrollTo=eyIK33R9iQnu
Website: https://engineerprompt.ai/
RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
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TimeStamps:
00:00 Retrieval Augmented Generation Systems
00:14 OpenAI’s New Multi-Agent System
01:04 Practical Guide and Use Cases
01:48 Step-by-Step System Breakdown
03:29 Detailed Architecture and Implementation
07:13 Example Workflow and Code Walkthrough
18:40 Cost Analysis and Trade-offs
20:51 Future Improvements and Conclusion Read More Prompt Engineering
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