Statistics for topic approximate-nearest-neighbor-search
RepositoryStats tracks 559,058 Github repositories, of these 46 are tagged with the approximate-nearest-neighbor-search topic. The most common primary language for repositories using this topic is Python (12).
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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...
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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!
Spotify/Annoy-inspired Approximate Nearest Neighbors in Rust, based on 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
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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
A curated list of awesome works related to high dimensional structure/vector search & database
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 🔍
Qdrant - High-performance, massive-scale Vector Database 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
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
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Spotify/Annoy-inspired Approximate Nearest Neighbors in Rust, based on LMDB and optimized for memory usage :boom:
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
Qdrant - High-performance, massive-scale Vector Database 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
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 🔍