Open-source vector similarity search for Postgres
-
Updated
Sep 20, 2024 - C
Open-source vector similarity search for Postgres
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
A cloud-native vector database, storage for next generation AI applications
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
mlpack: a fast, header-only C++ machine learning library
Cloud-native vector similarity search and storage with efficient, serverless scale-out
A curated list of awesome works related to high dimensional structure/vector search & database
The blazingly fast in-memory vector database 🚀
KD-Tree Implementation in Python - https://doi.org/10.5281/zenodo.13384095
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Approximate nearest neighbour search for microbial genomes based on hash metric
hnswlib-node provides Node.js bindings for Hnswlib
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
PostgreSQL vector database extension for building AI applications
Vald. A Highly Scalable Distributed Vector Search Engine
A Go wrapper for hnswlib 📦
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
Add a description, image, and links to the nearest-neighbor-search topic page so that developers can more easily learn about it.
To associate your repository with the nearest-neighbor-search topic, visit your repo's landing page and select "manage topics."