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Search results for python approximate nearest neighbor search

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30 search results found

Annoy ⭐ 11,776

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

Postgresml ⭐ 5,135

The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

Lancedb ⭐ 2,000

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

Pynndescent ⭐ 820

A Python nearest neighbor descent for approximate nearest neighbors

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

PECOS - Prediction for Enormous and Correlated Spaces

Aquiladb ⭐ 311

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

Pure python implementation of product quantization for nearest neighbor search

Annlite ⭐ 159

⚡ A fast embedded library for approximate nearest neighbor search

Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.

(distributed) vector database

Annbench ⭐ 81

A lightweight benchmark for approximate nearest neighbor search

Vector Cookbook ⭐ 60

Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.

Superinsight Db ⭐ 49

Relational Database for Unstructured Data

Adventures With Ann ⭐ 41

All the code for a series of Medium articles on Approximate Nearest Neighbors

🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library

Hi. I am jann. I am text input - text output chatbot model that is JUST approximate nearest neighbour.

Scikit Hubness ⭐ 34

A Python package for hubness analysis and high-dimensional data mining

Product Quantization ⭐ 27

🙃Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search..

🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings

Coursera Uw Machine Learning Clustering Retrieval ⭐ 21

Fast k-NN graph construction for slow metrics

Implementation Of Ml Algos In Python ⭐ 13

Implementing various machine learning algorithm from scratch

Semantic Ai ⭐ 11

An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).

Non Metric Space ( Approximate ) Library in R

Whiplash ⭐ 11

Serverless, lightweight, and fast vector database on top of DynamoDB

A GPU (CUDA) implementation, with a python interface, of the approximated KNN graph computation with Random Sample Forest algorithm KNN.

Sklearn Ann ⭐ 7

Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.

Apotheosis ⭐ 5

A specialized implementation of the Hierarchical Navigable Small World (HNSW) data structure adapted for efficient nearest neighbor lookup of approximate matching hashes

Dictionary Based Approach To Approximate Nearest Neighbors

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