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.

MySQL-compatible HTAP database with Git for Data, vector search, and fulltext search. Cloud-native, AI-ready

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

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

In-memory vector index for Go

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.

The Go client for Chroma vector database

Cut LLM costs by up to 80% and unlock sub-millisecond responses with intelligent semantic caching.A drop-in, provider-agnostic LLM proxy written in Go with sub-millisecond response

Shared Memory Storage for Multi-Agent Systems

The Kubernetes Operator of Milvus.

NornicDB is a high-performance graph + vector database built for AI agents and knowledge systems. It speaks Neo4j's (Bolt + Cypher) and qdrant's (gRPC) languages so you can use Nornic with zero code changes, while adding intelligent features including a graphql endpoint, air-gapped embeddings, GPU accelerated search, and other intelligent features.

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

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

A Vector Store written in Go - Supports hybrid retrieval over BM25, Flat, HNSW, IVF, PQ and IVFPQ Index with Quantization, Metadata Filtering, Reranking, Reciprocal Rank Fusion, Soft Deletes, Index Rebuilds and much much more

OasisDB: A minimal and lightweight vector database