In RAG:- No chunking drives up token costs- Large chunks lose fine-grained context- Small chunks lose global/neighbourhood contextIn fact, chunking also involves determining chunk overlap, generating summaries, etc., which are tedious.There's another problem! https://t.co/MxXaSqHOK1 ...

RAG is 80% retrieval and 20% generation.So if RAG isn't working, most likely, it's a retrieval issue, which further originates from chunking and embedding.Contextualized chunk embedding models solve this.Let's dive in to learn more! https://t.co/vnQ5tAj1oe ...

[Music] Okay, thanks everyone for coming today. Uh, so today's talk is called Building Alice's Brain. How we built an AI sales rep that learns like a human.Uh, my name is Sherwood. I am one of the tech leads here at 11X. I lead engineering for our Alice product and I'm joined by my colleague Saw.So 11X for those of you who are unfamiliar is a company that's building digital workers for the go to market organization. We have two digital workers today. We have Alice who is our AI SDR and then we also have Jul ...