The Embedding Trap: Why Your RAG System is Secretly Bleeding Money

Estimated read time 2 min read

Post Content

 

​ Embeddings are crucial for a production-ready RAG system but often get overlooked. I cover the costs, storage considerations, and ways to reduce storage requirements using techniques like dimensionality reduction and quantization. Learn how these methods can improve speed and save costs without compromising too much on performance.

LINKS:
Blogpost: https://huggingface.co/blog/embedding-quantization

? RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag

Let’s Connect:
? Discord: https://discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: https://ko-fi.com/promptengineering
|? Patreon: https://www.patreon.com/PromptEngineering
?Consulting: https://calendly.com/engineerprompt/consulting-call
? Business Contact: engineerprompt@gmail.com
Become Member: http://tinyurl.com/y5h28s6h

? Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off).

Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0

00:00 Introduction to Embeddings in RAG Systems
00:47 Understanding Embedding Costs
01:17 Storage Costs and Considerations
03:32 Reducing Storage Needs
03:41 Dimensionality Reduction Techniques
04:24 Matrosha Representation Learning
05:14 Precision Reduction Techniques
06:28 Quantization Study by Hugging Face
10:07 Implementing Quantization in Your Pipelines
12:56 Using Open Source Vector Stores
15:01 Conclusion and Final Thoughts

All Interesting Videos:
Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr

Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw

Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw

AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z   Read More Prompt Engineering 

#AI #promptengineering

You May Also Like

More From Author

+ There are no comments

Add yours