Statistical Machine Intelligence & Learning Engine
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Updated
Jun 8, 2024 - Java
Statistical Machine Intelligence & Learning Engine
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
A cloud-native vector database, storage for next generation AI applications
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!
mlpack: a fast, header-only C++ machine learning library
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.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Cloud-native vector similarity search and storage with efficient, serverless scale-out
Raku package with algorithms for finding nearest neighbors for different sets of objects.
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
Represent, send, store and search multimodal data
Vald. A Highly Scalable Distributed Vector Search Engine
A lightweight research library for managing Approximate Nearest Neighbor search datasets.
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
Machine Learning Algorithms in Fortran
Open-source vector similarity search for Postgres
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
A Python nearest neighbor descent for approximate nearest neighbors
PostgreSQL vector database extension for building AI applications
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