A cloud-native vector database, storage for next generation AI applications
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Updated
Jun 28, 2024 - Go
A cloud-native vector database, storage for next generation AI applications
Statistical Machine Intelligence & Learning Engine
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 cloud-native database.
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 full-text and vector search
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Open-source vector similarity search for Postgres
mlpack: a fast, header-only C++ machine learning library
A curated list of awesome works related to high dimensional structure/vector search & database
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Vald. A Highly Scalable Distributed Vector Search Engine
The frontend of shotit, with full documentation.
hnswlib-node provides Node.js bindings for Hnswlib
PH-Tree
front end to greek and latin corpora: searching, browsing, concordances, texts, dictionaries, parsing
Cloud-native vector similarity search and storage with efficient, serverless scale-out
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