最有价值项目

An intelligent research orchestration system that integrates large language models with scholarly data pipelines to enable contextual retrieval, cross-paper synthesis, and real-world knowledge extraction from scientific publications.

Evals framework for Information Retrieval Systems

A plugin that simulates an AI agent orchestration layer on top of RisuAI.

Advanced RAG (Retrieval-Augmented Generation) system for private document intelligence. Uses OpenAI GPT-4o and Vector Databases to provide zero-hallucination chat insights.

This repository shares end-to-end scripts on how to use various Weaviate features and integrations!

💸 A comprehensive AI-powered data explorer that combines FRED economic data & insights with vector search, regression analysis, and interactive RAG chatbot via Pinecone Vector DB, OpenAI, Claude, and Gemini. Built with TypeScript, React, and Express for seamless full-stack performance.

Rust implementation of RaBitQ + IVF and MSTG (multi-scale tree graph)

Open-source, Python-first RAG platform with FastAPI APIs, LangGraph-native agents, pluggable vector stores (Qdrant/Weaviate/Milvus/pgvector/Elasticsearch), and multi-provider LLM support (OpenAI/Anthropic/Gemini/Ollama/vLLM).

An interactive web application for comparing PDF documents using cosine similarity scans and a chatbot interface to explore and interact with PDF content.


HyDRA: Hybrid Dynamic RAG Agents, An advanced, agentic AI framework that transforms Retrieval-Augmented Generation from a static pipeline into a dynamic, learning reasoning system.

AI-powered RAG app to chat with any documentation - scrape, generate knowledge base, and query docs with source-backed answers.

VortexDB - A lightweight, vector database built from scratch in Rust 🦀

We introduce OpenStory++, a large-scale open-domain dataset focusing on enabling MLLMs to perform storytelling generation tasks.

997 playable, source-attributed MiniMax H3 / Hailuo H3 video cases, 309 complete public Prompts, and 13 source-checked guides.

macOS computer-use agent in the notch. Long-press, talk, Claude drives the mouse.

[ICLR'26] SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models

Grounding Language Models for Compositional and Spatial Reasoning

[WACV 2026] Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning

Identifying reasons for human actions in lifestyle vlogs.

Code and dataset release for "PACS: A Dataset for Physical Audiovisual CommonSense Reasoning" (ECCV 2022)