Distributed vector search for AI-native applications

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

🪿 LinGoose is a Go framework for building awesome AI/LLM applications.

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

Go library for embedded vector search and semantic embeddings using llama.cpp

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

The Go client for Chroma vector database

Access Gemini LLMs from the command-line

Go Bindings for BERT NLP Models

Go implementation of @qdrant/fastembed.

Read and use word2vec vectors in Go

Go module for fetching embeddings from embeddings providers

Stop paying for AI APIs during development. LocalCloud runs everything locally - GPT-level models, databases, all free.

Knowledge for GPTScript

Go Artificial Intelligence (GAI) helps you work with foundational models, large language models, and other AI models.

A simple app for visualising text embeddings

go native port of annoy. Approximate Nearest Neighbors in optimized for memory usage and loading/saving to disk.

Utility for cui2vec in Go

🧬🔍🗄️ Unlock the power of vector indexing and search in your Go applications with the HNSW algorithm for approximate nearest neighbor search, seamlessly embedded within your application.

Kikiola is a high-performance vector database written in Go.