Debugging Your RAG Setup - Enhance your AI Context Store Retrieval

📋 Summary
Today we dive into how RAG (Retrieval Augmented Generation) can be improved and optimized. There are a number of patterns evolving around these systems and it's more important than ever to understand the fundamentals of how all of these tools work. Stay tuned for a longer deep dive into the important aspects of these tools

🔗 Show Links:
Stable Discussion Article on RAG: https://blog.stablediscussion.com/p/c...
Stable Discussion Video about RAG:    • Don't just use ChatGPT with your PDFs  
AWS article on RAG: https://aws.amazon.com/what-is/retrie...
Initial paper on RAG: https://arxiv.org/abs/2005.11401
Survey of RAG techniques: https://arxiv.org/abs/2312.10997v4
The Data Quarry Blog on Vector Databases: https://thedataquarry.com/posts/vecto...
Llama Index Tooling: https://www.llamaindex.ai/
Chat RAG Example: https://ts.llamaindex.ai/examples/cha...

🙌 Support the Channel (affiliate links for things I use!)
Wispr Flow 🎤 - voice to text fast and clear (Amazing!): https://ref.flowvoice.ai/stablediscus...
Eleven Labs 🗣️ - excellent AI voice creations: https://try.elevenlabs.io/s2tuo44b42lb
Descript 🎬 - amazing AI video editing platform: https://get.descript.com/jg1jj002uhbs
Warp 🌀 - great terminal with AI tooling: https://app.warp.dev/referral/84Z5R3

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