Anatomy of a txtai index

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • txtai

    💡 Build AI-powered semantic search applications

    txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.

  • faiss

    A library for efficient similarity search and clustering of dense vectors.

    embeddings - The embeddings index file. This is an Approximate Nearest Neighbor (ANN) index with either Faiss (default), Hnswlib or Annoy, depending on the settings.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • hnswlib

    Header-only C++/python library for fast approximate nearest neighbors

    embeddings - The embeddings index file. This is an Approximate Nearest Neighbor (ANN) index with either Faiss (default), Hnswlib or Annoy, depending on the settings.

  • annoy

    Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

    embeddings - The embeddings index file. This is an Approximate Nearest Neighbor (ANN) index with either Faiss (default), Hnswlib or Annoy, depending on the settings.

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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