Raj
@raj
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Building https://t.co/TddibHHFII, Agentic RAG
Boston, MA
Joined July 2006
I created Million Dollar Vectors to visualize vector embeddings and how they relate to each other. But I hope you find it as fun to explore as I do.
milliondollarvectors.com
Navigate an interactive 3D map of vector embeddings. Discover semantic relationships between concepts and explore the landscape of high-dimensional data.
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We generate these vectors and provide semantic searching using @ragwalla, my Agentic RAG service.
ragwalla.com
Build intelligent AI agents with Ragwalla's enterprise RAG platform. OpenAI Assistants API compatible with enhanced security, multi-model support, and custom fu
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You can use Million Dollar Vectors to find companies that are close to each other semantically. We use cosine similarity in addition to LLMs under the hood to compare vectors, navigate and find what's nearby --- all things you would expect a map to do.
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Million Dollar Homepage monetized attention; Million Dollar Vectors monetizes meaning. Own a spot in a semantic world where related ideas cluster naturally.
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Think of UMAP like someone taking a giant, complicated map of a city—full of every tiny street, alleyway, and corner—and then redrawing it on a much smaller, simpler map. The smaller map doesn’t keep all the details, but it keeps the neighborhoods and their relationships intact.
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Under the hood we use this fancy thing called UMAP for dimensionality reduction because it's great at preserving local and global structure for this kind of map.
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When you buy a vector, it becomes an island on the map: we generate a unique tile image, position the island by meaning, and link back to your site. Your idea joins a living landscape that gets reprojected as more islands form.
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We take these vectors, which are high-dimensional arrays, project them into 2D and place them on an interactive map where the neighbors share meaning. Basically, Google-Maps-for-ideas.
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What’s a vector? Think semantic fingerprint of content which in technical terms is an AI embedding which captures meaning, not just appearance.
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Today I’m launching Million Dollar Vectors — a homage with a twist. Instead of buying a pixel, you buy a vector.
milliondollarvectors.com
Navigate an interactive 3D map of vector embeddings. Discover semantic relationships between concepts and explore the landscape of high-dimensional data.
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He sold 1,000,000 pixels at $1/pixel. The final 1,000 pixels were auctioned on eBay for $38,100. Iconic.
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Called it.
aws.amazon.com
Amazon S3 Vectors is a new cloud object store that provides native support for storing and querying vectors at massive scale, offering up to 90% cost reduction compared to conventional approaches...
When does S3 become a vector store? Seems inefficient that I need to send text to OpenAI to generate embeddings, store the embeddings in a vector store, then store the text as an object in S3. I should be able to store the text in a special vector store bucket in S3 with
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An Iranian man left this comment on my YouTube channel. It's the single best explanation I've ever heard on the future of #Iran 👇 As an Iranian, I can tell you the situation is no longer just political—it's existential. We are trapped between two collapsing structures: one
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Correction: I removed it from the AppStore —- it’s only available from our website to download.
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