Magick alternatives for AI agents.

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

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

A blazing fast inference solution for text embeddings models

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

Fast State-of-the-Art Static Embeddings

An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!

An out-of-the-box document retrieval workbench built on SAG

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

GPU-accelerated force graph layout and rendering

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

Retrieval and Retrieval-augmented LLMs

PipesHub is a fully extensible and explainable workplace AI platform for enterprise search and workflow automation

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.