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How Much RAM Could a Vector Database Use If a Vector Database Could Use RAM
Featured image generated by ChatGPT 4o model: “a low poly woodchuck by a serene lake, surrounded by mountains and a forest with tree leaves made from DDR memory modules. The woodchuck is munching on a memory DIMM. The only memory DIMM in the image should be the one being eaten.”
How Much RAM Could a Vector Database Use If a Vector Database Could Use RAM?
Although the title is a punn from the famous “woodchuck rhyme,” the question is serious for LLM applications using vector databases. As large language models (LLMs) continue to evolve, leveraging vector databases to store and search embeddings is critical. Understanding the memory usage of these systems is essential for maintaining performance, response times, and ensuring system scalability.
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