Popular GitHub Repositories for Approximate Nearest Neighbor

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

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?.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Postgres with GPUs for ML/AI apps.

Statistical Machine Intelligence & Learning Engine

mlpack: a fast, header-only C++ machine learning library

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

Plain python implementations of basic machine learning algorithms

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Represent, send, store and search multimodal data

An open-source data logging library for machine learning models and data pipelines. ? Provides visibility into data quality & model performance over time. ?️ Supports privacy-preserving data collection, ensuring safety & robustness. ?

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Text Classification Algorithms: A Survey

Vald. A Highly Scalable Distributed Vector Search Engine

Collections of vector search related libraries, service and research papers

PostgreSQL vector database extension for building AI applications

Blazing fast framework for fine-tuning similarity learning models

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.