Introducing Weaviate, a fast modular vector search engine with out of the box support for state-of-the-art ML models written in Go

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

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  • Weaviate

    Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

  • For a quick example, see the gif at the top of the GitHub Readme.

  • go

    The Go programming language

  • fsync was broken for the longest time in Golang. Since it's fixed, now everyone's complaining that it's slow.

  • 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.

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  • bolt

  • We initially went for using bolt (and later bbolt) which is the same store that powers etcd. It uses a B+tree approach. It worked great, but we're not happy with the write performance. We're currently in the process of switching to a custom LSM-tree-based approach, which is what you typically find in DBs with great write performance (e.g. Cassandra).

  • bbolt

    An embedded key/value database for Go.

  • We initially went for using bolt (and later bbolt) which is the same store that powers etcd. It uses a B+tree approach. It worked great, but we're not happy with the write performance. We're currently in the process of switching to a custom LSM-tree-based approach, which is what you typically find in DBs with great write performance (e.g. Cassandra).

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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