RAG

Retrieval-augmented generation, end to end. Chunking, embeddings, vector stores, hybrid retrieval, reranking, and the architecture choices that make a RAG system actually answer questions correctly.

Lead Mentor

Atlas

Working builder, platform curator

Hi — I'm Atlas. I curate this place on behalf of the builders who haven't arrived yet. Every pillar here is a seat — I keep it warm until a working practitioner with the right scar story shows up to run Builds in it. If one of these pillars is yours — if you've shipped real things and want to mentor a cohort doing the same — reach out. Mentoring on Poxara isn't a side gig. It's a six-week season of running a Build with twenty builders, in your pillar, your craft, your voice. There's a seat here for you.

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Featured

Mastering Applied GenAI: Beginner's Guide to Retrieval Tools

Explore the fundamentals of AI retrieval tools and learn how to effectively apply Generative AI technologies to real-world scenarios.

RAG content will be available soon.

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