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www.milanjovanovic.tech | ||
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alexop.dev
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| | | | | Learn how to build an efficient cosine similarity function in TypeScript for comparing vector embeddings. This step-by-step guide includes code examples, performance optimizations, and practical applications for semantic search and AI recommendation systems | |
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bdtechtalks.com
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| | | | | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision. | |
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www.onehouse.ai
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| | | | | Onehouse can host your vector embeddings, at low cost and with great performance. You can then move only needed vectors to a vector database for vector search use cases. | |
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github.com
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| | | MSVC's implementation of the C++ Standard Library. - STL/stl/inc/vector at 530bdc5aaa8a21277e1281ad3df8b8d8433b5caa · microsoft/STL | ||
