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222 contributions to Clief Notes
Understanding RAG — And Why It Matters for My Second Brain
Before this lesson, I had heard of RAG (Retrieval-Augmented Generation) but didn't fully understand how it worked. In simple terms, it lets an AI retrieve relevant information from documents or other sources before generating an answer, rather than relying only on its training or the current conversation. I've come across RAG while learning about AI agents and building my AI Workspace and Second Brain. I want AI tools like Claude and ChatGPT to find and use the right project information without having to explain everything each time. The biggest thing that made it click: RAG doesn't retrain the AI model. It gives the model access to relevant information when it's needed. My current system uses structured Markdown files and instructions to help AI find the right context. It's not necessarily a full RAG implementation, but the underlying goal is similar. I'm interested in exploring RAG further, but first I want to see how far I can get with my existing approach before adding more complexity.
0 likes • 4d
@Scott Trefz a little bit of schema goes a long way…
Is it okay to have a mix of numbered and descriptive folder names?
Do folders need to be numbered sequentially, as the ICM states, or is it okay to have a mix of numbered and descriptive folder names? At the moment, the workflow stage folders are mostly numbered, but resourcing has a 01a stage and the final handoff stages jump from 04 to 06. Client, template and record folders use descriptive names without numbers. Is that setup wrong, or is it okay as it is?
2 likes • 4d
@Raman Sharma It’s fine if it works for you and the context / routing is clear. AI doesn’t care what they are called.
ICM for Highsfield/ Seedance?
So Im new and still wrapping my head around everything associated with the ICM methodology. One area where I have a lot of questions is how to best use the ICM concept when using video rendering models like Higgsfield/Seedance, Kling, or Veo. I'm wondering if it's possible to connect a Github ICM repository to Higgsfield thru an MCP sever or API Keys. And if I did this would it a) significantly reduce the anount of tokens needed to generate videos, and b) would using an ICM file system like this help with image consistency. I saw somewhere if we created JSON files for images it makes it easier for the image and video softwares to maintain consistency, however that advise was from several months ago; it may be moot by now. If it is helpful, I thought this is what could be in the ICM structure for the videos as well as customer avatar content, etc. Has anyone done something like this, or is this a bad use case for ICM? Thx!
2 likes • 16d
@Yanick Webster yes, I built ICM repo to handle the data model, and repeatable pipeline for characters, stories, animation, music, song lyrics etc. It will help you to have a system and pipeline that manages context and drafts your prompts so image and video gen can maintain consistency across sessions.
Voice cloning
I've been working with remotion and animation to use with my business. What voice cloning software have you found to be effective and worth a look?
1 like • 24d
Eleven labs
VIP check-in 🚪 How difficult is this one? Alright VIPs...
You've had the weekend with The Drawing Room. I deliberately wanted this roadmap to push you a little harder than the previous ones. So I want some honest feedback. How difficult has it been? 🟢 Easier than expected 🟡 Challenging, but manageable 🔴 Making me question everything 😂 And tell me which step has made you think the most so far. Remember, getting stuck isn't necessarily a bad thing here. If a quiz exposes something you don't fully understand, or an accountability question takes you longer than expected... That's the roadmap doing its job. - Go back. - Find the gap. - Ask the AI. - Bring it to the next call if you need to. Then keep moving. Drop your 🟢 🟡 or 🔴 below and tell me where you're at. 👇
3 likes • 27d
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Aaron Kruger
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