A cloud-native vector database, storage for next generation AI applications
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Updated
Jul 30, 2024 - Go
A cloud-native vector database, storage for next generation AI applications
mlpack: a fast, header-only C++ machine learning library
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Statistical Machine Intelligence & Learning Engine
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 cloud-native database.
Open-source vector similarity search for Postgres
📝Awesome and classical image retrieval papers
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Represent, send, store and search multimodal data
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in 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
Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
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.
A Python nearest neighbor descent for approximate nearest neighbors
Collections of vector search related libraries, service and research papers
A Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index hashing for hamming space.
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