A CLI tool to play with embedding search

Go library for document management and vector-based querying, ideal for NLP and AI applications.

BecktorDB - Vector database with text document loading / chunking / embeddings and similarity search

Chroma DB vector database, with embedding and reranker models to implement a Retrieval Augmented Generation (RAG) system.

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go. Built for simplicity and performance with Milvus vector database integration.

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

Call Gemini (https://ai.google.dev) embedding models with OpenAI-compatible endpoints

Go wrapper for bert.cpp embeddings library using cgo/dll approach.

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

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

Metadata management 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.

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

Utility for cui2vec in Go

A simple app for visualising text embeddings

Knowledge for GPTScript

Go module for fetching embeddings from embeddings providers

Go implementation of @qdrant/fastembed.

Read and use word2vec vectors in Go