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Originally Posted by Duik
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More ram than a field of sheep
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needs
moar, how else am i gonna find out if it can dream of electric ones?
https://electricsheep.org/#/sheep
i literally, unironically want to dump sheep into her storage also, that old screensaver is open source so i just gotta figure out how to rip that out and put it in her so it can be doing fractal math, a "Ghost" isn't going to emerge in there on it's own
i gotta learn this shit next also
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Dedicated Vector Database/Vector Store
Scalability for Large Datasets: Dedicated vector databases are purpose-built to handle massive amounts of high-dimensional vector embeddings efficiently. They employ specialized indexing techniques (like HNSW or IVF) that allow for extremely fast similarity searches even with millions or billions of vectors.
Optimized for Semantic Search: Unlike traditional SQL databases, vector databases are optimized from the ground up for the kind of semantic similarity search that is fundamental to Retrieval-Augmented Generation (RAG) systems like Kaia. They will provide much faster and more accurate retrieval of relevant context as your knowledge base grows.
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File-Based Vector Store (Kaia's Current Method)
Description: Data, including vector embeddings and document metadata, is saved as JSON files directly on the local file system. LlamaIndex handles the indexing and retrieval from these files.
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