Aisearch Openai RAG Audio alternatives for AI agents.

21 Lessons, Get Started Building with Generative AI

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

A complete guide to start and improve your LLM skills in 2026 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

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

📚 Process PDFs, Word documents and more with spaCy

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

Example apps for Foundation Models Framework in iOS 26 and macOS 26

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

Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.

Building blocks for rapid development of GenAI applications

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

Collect, organize, use, and share, all in OmniBox.

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

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.

Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个