Hello everyone 👋 Ahmed here. I’m the author of The Tech Buffet, a newsletter that demystifies complex topics in programming and ML from an engineering perspective.
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In this issue, I list the previous articles I wrote on Retrieval Augmented Generation.
If you’re new to The Tech Buffet, this might be useful to catch up on the content you missed: explaining RAG mechanisms and unraveling their pitfalls, applying RAGs to SQL generation, getting RAGs to work well in production, different indexing and retrieval methods, etc.
These posts provide my perspective. After spending several months deploying RAGs in production for my clients, I came to know their ins and outs.
Expect this list to be regularly updated, serving as an evolving glossary for easy reference.
The Tech Buffet #6: Why Your RAG is Not Reliable in Production
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October 10, 2023
We’ve all seen those demos of chatbots conversing with PDFs or emails.
While these systems are certainly impressive, they might not be reliable in production without tweaking and experimentation.
In this issue, we explore the problems behind the RAG framework and go over some tips to improve its performance.
The Tech Buffet #18: Advanced Retrieval Techniques for RAG
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January 8, 2024
The documents you retrieve from the vector store are not always relevant to the intention behind the user's query. They might also be redundant or missing crucial information.
To improve document retrieval, we explore 3 techniques: query expansion, cross-encoder re-ranking, and embedding adaptors.
I hope you’ll find something that interests you in this list. If you have any questions regarding one of the issues, don’t hesitate to send me a message or drop a comment here. If you also have another topic in mind about RAGs, let me know.
In future issues, The Tech Buffet will cover practical tutorials on programming and DevOps. The goal is to help you build ML solutions (like RAGs) that scale in a production environment.
There’s already a backlog of posts, but if you’re interested in a particular topic, I’d love to hear your suggestions.
Until next time 👋
Ahmed
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