Foundation Models Framework Example alternatives for AI agents.

A practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.

Minimalist web-searching platform with an AI assistant that runs directly from your browser. Demo: https://felladrin-minisearch.hf.space

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

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

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

21 Lessons, Get Started Building with Generative AI

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

面向长篇小说创作的 AI Native 开源系统，用 Agent、世界观、写法引擎、RAG 和整本生产工作流，帮助新手从一句灵感走到完整小说。AI-native engine for end-to-end novel creation — from idea to full chapters, with structured planning, worldbuilding, and agent-driven workflows.

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

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

The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale.

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

The AI search platform

Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes

The open source agentic content system to make your contents alive. Self-hosted on any platform. ◑