Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

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​.

Distributed vector search for AI-native applications

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

The Kubernetes operator for K8ssandra

Coltt is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.

In-memory vector index for Go

The Go client for Chroma vector database

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN

A simple vector database: Text encoding, semantic search, document storage

The Kubernetes Operator of Milvus.

Sorted Data Structure Server - Treds is a Data Structure Server which returns data in sorted order and is the fastest prefix search server. It also persists data on disk.

Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

a vector embedding database with multiple storage engines and AI embedding integrations

Knowledge for GPTScript

A minimalistic vector database that can be used to search for similar vectors in logarithmic time.

No fuss multi-index hybrid vector database / search engine