Firecrawl App Examples alternatives for AI agents.

Fast, streaming indexing, query, and agentic LLM applications in Rust

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

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

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

The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.

End-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中，我们深入进去探究。

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

A conversational Q&A agent configuration system, self-hosted deployment solutions, and a convenient all-in-one application SDK, allowing you to create intelligent Q&A bots for your GitHub repositories

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

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

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

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

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

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.

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

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG