[D] Simplest Vector DB Implementation?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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  • usearch

    Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

  • pgvector

    Open-source vector similarity search for Postgres

  • Postgres supports vector storage, indexing and recall with pgvector

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • VDBforGenAI

    A simple vector database for giving context from a knowledge base to generative ai written in python with faiss as the search algorithm.

  • I made this one because I was asking a similar question some time ago. That is find the nearest vector from a bunch of documents and do it quickly and efficiently. Faiss backend with some nice python utilities. https://github.com/JakubJDolezal/VDBforGenAI

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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