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Thanks to SambaNova for sponsoring the video check them out: https://fnf.dev/3WVZshS
Learn how to build a RAG system that is supercharged by the DeepSeek’s reasoning model. Reasoning models can really help with the accuracy of retrieval and generation because of the inherent chain of thought. Learn how to use the SambaNova Cloud to get incredibly fast inference speed for powering Agents and RAG system.
Which model do you think is better? Let me know your thoughts in the comments!
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LINKS:
SambaNova Cloud: https://fnf.dev/3WVZshS
Github Repo: https://github.com/PromtEngineer/RAG_with_DeepSeek_R1
RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
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for more AI deep dives!
Supercharge Your RAG Pipeline with DeepSeq R1: A Step-by-Step Guide
00:00 RAG with DeepSeek R1
00:23 Components of the RAG Pipeline
01:13 Code Walkthrough: Indexing and Retrieval
04:45 Retrieval Process and Query Handling
07:10 SambaNova Cloud and DeepSeek R1 Performance
09:13 Example Queries and Reasoning Model Insights
11:37 Re-ranking with Reasoning Models Read More Prompt Engineering
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