Distributed vector search for AI-native applications

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

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

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

Access Gemini LLMs from the command-line

Go Bindings for BERT NLP Models

The Go client for Chroma vector database

Read and use word2vec vectors in Go

Go implementation of @qdrant/fastembed.

Go module for fetching embeddings from embeddings providers

Knowledge for GPTScript

A simple app for visualising text embeddings

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

Utility for cui2vec in Go

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

🧬🔍🗄️ 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.

Metadata management in Go

DocsGPT is a powerful web app that allows you to embed your documents then query them using natural language

Fast & less costly AI decision making and intelligent processing of multi-modal data.