Trending repositories for topic approximate-nearest-neighbor-search

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/

Open-source vector similarity search for Postgres

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 c...

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

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

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

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

Postgres with GPUs for ML/AI apps.

PostgreSQL vector database extension for building AI applications

Fast approximate nearest neighbor searching in Rust, based on HNSW index

Framework for evaluating ANNS algorithms on billion scale datasets.

PECOS - Prediction for Enormous and Correlated Spaces

Some useful tips for faiss

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

PostgreSQL vector database extension for building AI applications

Open-source vector similarity search for Postgres

Fast approximate nearest neighbor searching in Rust, based on HNSW index

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

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

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 c...

Framework for evaluating ANNS algorithms on billion scale datasets.

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/

PECOS - Prediction for Enormous and Correlated Spaces

Some useful tips for faiss

Postgres with GPUs for ML/AI apps.

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

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/

Open-source vector similarity search for Postgres

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 c...

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

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

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

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

Postgres with GPUs for ML/AI apps.

PostgreSQL vector database extension for building AI applications

Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

Vald. A Highly Scalable Distributed Vector Search Engine

A Python nearest neighbor descent for approximate nearest neighbors

(distributed) vector database

Fast approximate nearest neighbor searching in Rust, based on HNSW index

Framework for evaluating ANNS algorithms on billion scale datasets.

PECOS - Prediction for Enormous and Correlated Spaces

Some useful tips for faiss

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

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 scena...

Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

(distributed) vector database

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

PostgreSQL vector database extension for building AI applications

Open-source vector similarity search for Postgres

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

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 c...

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/

Fast approximate nearest neighbor searching in Rust, based on HNSW index

Framework for evaluating ANNS algorithms on billion scale datasets.

A Python nearest neighbor descent for approximate nearest neighbors

Vald. A Highly Scalable Distributed Vector Search Engine

PECOS - Prediction for Enormous and Correlated Spaces

Postgres with GPUs for ML/AI apps.

Some useful tips for faiss

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

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

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 scena...

Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

Open-source vector similarity search for Postgres

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 c...

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

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

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

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

Postgres with GPUs for ML/AI apps.

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 scena...

Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

PostgreSQL vector database extension for building AI applications

A Python nearest neighbor descent for approximate nearest neighbors

Vald. A Highly Scalable Distributed Vector Search Engine

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage :boom:

A curated list of awesome works related to high dimensional structure/vector search & database

Framework for evaluating ANNS algorithms on billion scale datasets.

Fast approximate nearest neighbor searching in Rust, based on HNSW index

PECOS - Prediction for Enormous and Correlated Spaces

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

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

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

An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage :boom:

A curated list of awesome works related to high dimensional structure/vector search & database

Open-source vector similarity search for Postgres

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN

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 c...

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

PostgreSQL vector database extension for building AI applications

Framework for evaluating ANNS algorithms on billion scale datasets.

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/

Fast approximate nearest neighbor searching in Rust, based on HNSW index

(distributed) vector database

C# library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

A Python nearest neighbor descent for approximate nearest neighbors

A lightweight benchmark for approximate nearest neighbor search

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Pure python implementation of product quantization for nearest neighbor search

Postgres with GPUs for ML/AI apps.

A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.

Semantic search in Unity!

Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

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/

Open-source vector similarity search for Postgres

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 c...

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

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

Postgres with GPUs for ML/AI apps.

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

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

PostgreSQL vector database extension for building AI applications

An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage :boom:

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 scena...

Vald. A Highly Scalable Distributed Vector Search Engine

A curated list of awesome works related to high dimensional structure/vector search & database

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Framework for evaluating ANNS algorithms on billion scale datasets.

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

Some useful tips for faiss

Fast approximate nearest neighbor searching in Rust, based on HNSW index

A Python nearest neighbor descent for approximate nearest neighbors

PECOS - Prediction for Enormous and Correlated Spaces

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

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

A curated list of awesome works related to high dimensional structure/vector search & database

Cloud-native vector similarity search and storage with efficient, serverless scale-out

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

PostgreSQL vector database extension for building AI applications

Open-source vector similarity search for Postgres

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

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN

Node.js bindings for faiss

C# library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

Framework for evaluating ANNS algorithms on billion scale datasets.

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 c...

Postgres with GPUs for ML/AI apps.

Fast approximate nearest neighbor searching in Rust, based on HNSW index

SONG: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.

Fast k-NN graph construction for slow metrics

hnswlib-node provides Node.js bindings for Hnswlib

(distributed) vector database