LLM 模型排行

Official Implementation of "Multi-Head RAG: Solving Multi-Aspect Problems with LLMs"

Custom APRL machine-learning algorithm + a curated ML knowledge base of 923 papers, lectures, and explainers. NumPy classifier/regressor, tests, benchmarks, provenance, Obsidian, and agent-ready Markdown.

🚢 Yet another operator for running large language models on Kubernetes with ease. Powered by Ollama! 🐫

The memory layer for AI-native development - giving AI persistent understanding of your software projects.

This is a repository for the course "From Beginner to LLM Developer" by Towards AI.

基于 Streamlit、LangChain 与 Chroma 的轻量级 RAG 学习项目，支持本地知识库上传、检索增强问答与聊天式交互。

High performance embedded vector database

open source assistant hybrid using small models (2b - 5b) and gemini , with image and agentic tool capabilities and integration of RAG with effiecient memory. android support using adb

To know what models don't say out loud.

Open-source framework to make AI agents' team collaboration as effective as human collaboration.

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.

LLM-based text extraction from unstructured data like PDFs, Words and HTMLs. Transform and cluster the text into your desired format. Less information loss, more interpretation, and faster R&D!

[ICLR 2026] Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision

Agentic RAG to achieve human like reasoning

Evidence-backed AI industry intelligence — trends, source updates, daily data refreshes, and weekly decision briefs.

an MLOps/LLMOps platform

Create-tsi is a generative AI RAG toolkit which generates AI Applications with low code.

Xmem is a India's First open source multi-modal, multi-agentic long‑term memory layer for AI agents.

Open source alternative to Perplexity AI with ability to run locally

Easy-Translate is a script for translating large text files with a SINGLE COMMAND. Easy-Translate is designed to be as easy as possible for beginners and as seamlesscustomizable and as possible for advanced users.