Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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Updated
May 30, 2024 - Rust
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.
A cloud-native vector database, storage for next generation AI applications
Vald. A Highly Scalable Distributed Vector Search Engine
Cloud-native vector similarity search and storage with efficient, serverless scale-out
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
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Open-source vector similarity search for Postgres
Comparative Analysis of Solutions to the NP-hard Problem: Travelling Salesman Problem.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
A curated list of awesome works related to high dimensional structure/vector search & database
PostgreSQL vector database extension for building AI applications
Represent, send, store and search multimodal data
[SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.
K-dimensional tree in Rust for fast geospatial indexing and lookup
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