A cloud-native vector database, storage for next generation AI applications
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Updated
Jun 15, 2023 - Go
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A cloud-native vector database, storage for next generation AI applications
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/
Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
Statistical Machine Intelligence & Learning Engine
mlpack: a fast, header-only C++ machine learning library
Open-source vector similarity search for Postgres
Vald. A Highly Scalable Distributed Vector Search Engine
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Collections of vector search related libraries, service and research papers
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
A Python nearest neighbor descent for approximate nearest neighbors
Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
Blazing fast framework for fine-tuning similarity learning models
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