Statistics for topic approximate-nearest-neighbor-search
RepositoryStats tracks 642,284 Github repositories, of these 49 are tagged with the approximate-nearest-neighbor-search topic. The most common primary language for repositories using this topic is C++ (12). Other languages include: Python (11)
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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, embedded retrieval engine for multimodal AI. Search More; Manage Less.
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
An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage :boom:
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
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, embedded retrieval engine for multimodal AI. Search More; Manage Less.
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
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Cloud-native vector similarity search and storage with efficient, serverless scale-out
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage :boom:
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
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
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage :boom:
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 Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.
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, embedded retrieval engine for multimodal AI. Search More; Manage Less.
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 🔍
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
A curated list of awesome works related to high dimensional structure/vector search & database