<ul data-eligibleForWebStory="false"><li>This article explains how to build a simple local vector database in Python without using tools like FAISS or LangChain.</li><li>The focus is on understanding the fundamentals of vector databases using NumPy and a flat file, without relying on complex frameworks or installations.</li><li>A vector database stores data as vectors in multi-dimensional space, allowing similar items to be close together for efficient searching based on cosine similarity or Euclidean distance.</li><li>The tutorial aims to provide insight into the inner workings of vector search without using heavy tools, making it suitable for those interested in understanding the basics.</li></ul>

Python From Scratch Building a Tiny Local Vector Database Without LangChain or FAISS

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