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

  • This article explains how to build a simple local vector database in Python without using tools like FAISS or LangChain.
  • The focus is on understanding the fundamentals of vector databases using NumPy and a flat file, without relying on complex frameworks or installations.
  • 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.
  • 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.

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