Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

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.

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

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.

Markdown vector search MCP server for Claude Code. Natural language search for markdown files using multilingual-e5-small embeddings.

Read and use word2vec vectors in Go

Go module for fetching embeddings from embeddings providers

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

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

Persistent memory graph for AI agents. Facts, decisions, entities, and relationships that survive across sessions, tools, and providers. MCP server — works with Claude, Cursor, ChatGPT, and any MCP client.

A pure-Go, single-file AI memory and knowledge graph library.

A Repository-Aware, Self-Evolving Agent That Understands Codebase in Real Time powered by Hybrid Semantic + Full-Text Engine

Knowledge for GPTScript