Local Search

MLOps.community · Intermediate ·🔍 RAG & Vector Search ·7mo ago

Key Takeaways

The video discusses the trade-offs between local search and retrieval versus cloud-based search, highlighting the benefits of local search, including privacy preservation, faster performance, offline connectivity, and cost-effectiveness, with a focus on Chroma, a search tool written in Rust that can run on various devices, including robots.

Full Transcript

trade-offs. There are pros and cons to doing search and retrieval locally on whatever device that is versus the cloud. Um, and they don't have to be mutually exclusive. You can also do both. And actually, most use cases that we see people doing stuff on the phone end up also having sort of a cloud syncing story going on. Um, but of course local it's privacy preserving. >> So, you can give the user those guarantees. Um, local is also going to be if so facto faster uh because you're not going over the network. Um, and then local is also um going to be >> you don't have to worry about like you can be in a place where there's no reception, >> right? So yeah, offline connectivity and then also sorry cheaper as well. uh if you're doing the compute on the device you already own, you've already paid the money for that compute and you can just now use that compute as much as you want. Um and so you know those are very good reasons to do things. Um I think probably the privacy preserving reason is the biggest use case that I I feel like exists there. >> Um it's just like really great to be able to like have users do things on their own device um and not have to worry about like the data being egressed unless they explicitly want it to be. Um so yeah, but I think there's a lot of really exciting stuff there. I mean like we're a little early still in like the arc of this, but I think also like the reason that Chroma is written in Rust and like because Chroma is written in Rust, it can run anywhere. Um like we also um there's some kind of early early work in like getting Chroma to run on like robots >> nice >> because like they're also going to need their own like level of memory and like so you know maybe like the largest you know install base of in Chroma of Chroma in 10 years is going to be you know inside of like 5 billion robots. You could think about it that way. So >> and what was it what was the engineering feat that had to happen? Did you to make it super lightweight so that people could just grab it and have it on >> their device without any worries that this is going to brick my Sun.

Original Description

@trychroma Catch the full episode: https://www.youtube.com/watch?v=n6ccpQBFsgU
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The video discusses the benefits and trade-offs of local search and retrieval, highlighting the importance of privacy preservation, faster performance, and offline connectivity, with a focus on Chroma, a search tool written in Rust.

Key Takeaways
  1. Evaluate the trade-offs between local and cloud-based search
  2. Design a local search system with privacy preservation in mind
  3. Optimize search performance for edge devices
  4. Implement Chroma or a similar search tool on a device
💡 Local search and retrieval can provide significant benefits, including privacy preservation and faster performance, but requires careful design and optimization for edge devices.

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