Try this Before RAG. This New Approach Could Save You Thousands!

In this video, I explore the capabilities of Google’s Gemini API for document processing, highlighting the potential cost savings and efficiency brought by context caching. I'll show how to handle large PDF files, directly process documents without pre-processing, and seamlessly integrate context caching. Tune in to see step-by-step examples and learn how to effectively utilize this powerful tool for your projects!

LINKS:
Colab: https://tinyurl.com/3e3tstny
Blogpost: https://ai.google.dev/gemini-api/docs...
Colpali paper: https://huggingface.co/vidore/colpali
ColPali for retrieval:    • ColPali: Vision Language Models for E...  
Long Context Gemini:    • Making Long Context LLMs Usable with ...  
Claude Prompt Cache:    • Is This the End of RAG? Anthropic's N...  

💻 RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/c...

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00:00 Introduction to Prompt Caching with Claude
00:19 Google's Gemini API for PDF Processing
01:11 Capabilities and Specifications of Gemini API
02:20 Tutorial: Using Gemini API for Document Processing
04:39 Experimenting with Gemini API
05:35 Setting Up and Using Context Caching
08:37 Advanced Multimodal Capabilities of Gemini API
11:48 Working with Multiple Files
18:06 Practical Use Cases and Conclusion

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